Biostatistics

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Biostatistics

  1. 1. Katalog książekanglojęzycznychstatystyka medycznai biostatystykaAmerykańskie Towarzystwo Statystyczne ogłosiło rok 2013Międzynarodowym Rokiem Statystyki. Ogólnoświatowa akcjama na celu uczczenie i docenienie osiągnięć nauk statystycznych.Przyłączyliśmy się do akcji promując najważniejsze książki z tejdziedziny.Przeglądaj katalog z nowościami i najciekawszymi publikacjami.Dowiedz się więcej na www.abe.pl/statystyka2013
  2. 2.    Statystyka medyczna i biostatystyka2 www.abe.plA Handbook of Applied Statistics inPharmacology9781578087525 18.10.2012Oprawa: twarda£ 57,99Katsumi KobayashiStatistics plays an important role in pharmacology and related subjects such astoxicology and drug discovery and development. Improper statistical tool selectionfor analyzing the data obtained from studies may result in wrongful interpretation ofthe performance or safety of drugs. This book communicates statistical tools insimple language. The examples used are similar to those that scientists encounterregularly in their research area. The authors provide cognitive clues for selection ofappropriate tools to analyze the data obtained from the studies and explain how tointerpret the result of the statistical analysis.Taylor & FrancisA Mathematical Approach to Multilevel,Multiscale Health Interventions9781848169968 31.03.2013Oprawa: twarda£ 65,00Rodrick WallaceThis book, based on published studies, takes a unique perspective on the 30-yearcollapse of pharmaceutical industry productivity in the search for small molecule"magic bullet" interventions. The relentless escalation of inflation-adjusted cost perapproved medicine in the United States - from $200 million in 1950 to $1.2 billion in2010 - has driven industry giants to, at best, slavish imitation in drug design, and atworst, to abandonment of research and embracing of widespread fraud inconsumer marketing. The book adapts formalism across a number of disciplines tothe strategy for design of mutilevel interventions, focusing, first, on molecular,cellular, and larger scale examples, and extending the argument to thesimplifications provided by the dominant role of social and cultural structures andprocesses in individual and population patterns of health and illness. In place of"magic bullets", we must now apply "magic strategies" that act across both thescale and level of organization. This book provides an introductory roadmap to thenew tools that will be needed for the design of such strategies.World Scientific PublishingA Practical Guide to Cluster RandomisedTrials in Health Services Research9780470510476 03.02.2012Oprawa: twarda£ 50,00Sandra EldridgeCluster randomisedtrials are trials in which groups (or clusters) of individuals arerandomly allocated to different forms of treatment. In health care, these trials oftencompare different ways of managing a disease or promoting healthy living, incontrast to conventional randomised trials which randomise individuals to differenttreatments, classically comparing new drugs with a placebo. They are increasinglycommon in health services research. This book addresses the statistical, practical,and ethical issues arising from allocating groups of individuals, or clusters, todifferent interventions. Key features: Guides readers through the stages ofconducting a trial, from recruitment to reporting. Presents a wide range of exampleswith particular emphasis on trials in health services research and primary care, withboth principles and techniques explained. Topics are specifically presented in theorder in which investigators think about issues when they are designing a trial.Combines information on the latest developments in the field together with apractical guide to the design and implementation of cluster randomised trials.WileyA Statistical Approach to GeneticEpidemiology9783527323890 25.03.2010Oprawa: miękka£ 65,00Andreas ZieglerThis is the second edition of the successful textbook written by the prize-winningscientist Andreas Ziegler, former President of the German Region of the InternationalBiometric Society, and Inke R. Konig, who has been teaching the subject over manyyears. The book gives a comprehensive introduction into the relevant statisticalmethods in genetic epidemiology. The second edition is thoroughly revised, partlyrewritten and includes new chapters on traditional family studies and state-of-the-artgenome-wide association studies. The book is ideally suited for advanced studentsin epidemiology, genetics, statistics, bioinformatics and biomathematics. Like in thefirst edition, the book contains many problems and solutions. E-learning PlatformEdition: The paperback version of this book exclusively comes with an e-learningcourse created by Friedrich Pahlke. This e-learning course has been developed tocomplement the book and both provide a unique support tool for teaching thesubject.WileyAdaptive and Flexible Clinical Trials9781439838327 25.08.2011Oprawa: twarda£ 59,99Richard ChinAdaptive clinical trial designs, unlike traditional fixed clinical trial designs, enablemodification of studies in response to the data generated in the course of the trial.This often results in studies that are substantially faster, more efficient, and morepowerful. Recent developments in web-based real-time data entry and advances instatistical methods have made adaptive clinical trials much more popular becausethey have become both more practical and attractive. However, there is paucity ofresources that explain the mathematical framework and the practical considerationsfor adaptive designs without the use of highly technical statistical jargon. Suitable forreaders in academia, industry, and government involved in drug development,Adaptive and Flexible Clinical Trials is the first book that comprehensively explains allessential aspects of adaptive clinical trials. Written in an easy-to-understand styleaimed at clinicians and other non-statisticians, this book focuses not on thestatistical details, but rather on the application of statistical concepts for adaptiveclinical trials.Taylor & FrancisAdaptive Design Methods in ClinicalTrials9781439839874 01.12.2011Oprawa: twarda£ 59,99Shein-Chung ChowWith new statistical and scientific issues arising in adaptive clinical trial design,including the U.S. FDAs recent draft guidance, a new edition of one of the firstbooks on the topic is needed. Adaptive Design Methods in Clinical Trials, SecondEdition reflects recent developments and regulatory positions on the use of adaptivedesigns in clinical trials. It unifies the vast and continuously growing literature andresearch activities on regulatory requirements, scientific and practical issues, andstatistical methodology. New to the Second Edition Along with revisions throughoutthe text, this edition significantly updates the chapters on protocol amendment andclinical trial simulation to incorporate the latest changes. It also includes five entirelynew chapters on two-stage adaptive design, biomarker adaptive trials, target clinicaltrials, sample size and power estimation, and regulatory perspectives. Following inthe tradition of its acclaimed predecessor, this second edition continues to offer anup-to-date resource for clinical scientists and researchers in academia, regulatoryagencies, and the pharmaceutical industry.Taylor & Francis
  3. 3.    Statystyka medyczna i biostatystykawww.abe.pl 3Advanced Bayesian Methods forMedical Test Accuracy9781439838785 22.07.2011Oprawa: twarda£ 94,00Lyle D. BroemelingUseful in many areas of medicine and biology, Bayesian methods are particularlyattractive tools for the design of clinical trials and diagnostic tests, which are basedon established information, usually from related previous studies. AdvancedBayesian Methods for Medical Test Accuracy begins with a review of the usualmeasures such as specificity, sensitivity, positive and negative predictive value, andthe area under the ROC curve. Then the scope expands to cover the moreadvanced topics of verification bias, diagnostic tests with imperfect gold standards,and those for which no gold standard is available.Promoting accuracy and efficiency of clinical trials, tests, and the diagnosticprocess, this book:Enables the user to efficiently apply prior information via a WinBUGS packagePresents many ideas for the first time and goes far beyond the two standardreferencesIntegrates reader agreement with different modalities—X-ray, CT Scanners, andmore—to study their effect on medical test accuracyTaylor & FrancisAgricultural Statistical Data AnalysisUsing Stata9781466585850 10.07.2013Oprawa: miękka£ 49,99George BoyhanPractical statistics is a powerful tool often used by agricultural researchers andgraduate students in investigating experimental design and analysis. One of themost widely-used statistical analysis software packages for this purpose is Stata.This book provides an introduction to Stata and its use in agricultural research,written in a format that is easy to read and user-friendly for beginners. It opens witha general discussion of statistical software, with additional chapters devoted to dataentry and applications of Stata. More advanced topics include the use of Stata inregression analysis and in analyzing data that is typically not normally distributed.Taylor & FrancisAgricultural Survey Methods9780470743713 13.04.2010Oprawa: twarda£ 85,00Roberto BenedettiThis book brings together the knowledge of academics and experts to increase thedissemination of the latest developments in agricultural statistics. Conducting acensus, setting up frames and registers and using administrative data for statisticalpurposes are covered and issues arising from sample design and estimation, use ofremote sensing, management of data quality and dissemination and analysis ofsurvey data are explored.WileyAn Introduction to BayesianBiostatistics9781439800089 31.10.2010Oprawa: twarda£ 49,99Valen E. JohnsonWith discussions on many recent developments in Bayesian methodologies, AnIntroduction to Bayesian Biostatistics considers statistical issues in biomedicalresearch, allowing for greater collaborations between biostatisticians and biomedicalresearchers. The text presents biostatistical methods from a Bayesian perspective. Itincludes an overview of Bayesian statistics, a discussion of rates and proportionswith applications in clinical and other population-based studies, recentdevelopments in clinical trial design, methods for evaluating censored data anddiagnostic tests, and problems resulting from multiple comparisons.Taylor & FrancisAn Introduction to Statistics and DataAnalysis for Bioinformatics Using R9781439892367 17.10.2013Oprawa: twarda£ 49,99Sorin DraghiciFrom the very basics to linear models, this book provides a complete introduction tostatistics, data analysis, and R for bioinformatics research and applications. It coversANOVA, cluster analysis, visualization tools, and machine learning techniques.Suitable for self-study and courses in computational biology, bioinformatics,statistics, and the life sciences, the text also presents examples of microarrays andbioinformatics applications. R code illustrates all of the essential concepts and isavailable on an accompanying CD-ROM.Taylor & FrancisAn Introduction to Survival AnalysisUsing Stata9781597180740 06.10.2010Oprawa: miękka£ 49,99Mario ClevesAn Introduction to Survival Analysis Using Stata, Third Edition provides thefoundation to understand various approaches for analyzing time-to-event data. It isnot only a tutorial for learning survival analysis but also a valuable reference for usingStata to analyze survival data. Although the book assumes knowledge of statisticalprinciples, simple probability, and basic Stata, it takes a practical, rather thanmathematical, approach to the subject. This updated third edition highlights newfeatures of Stata 11, including competing-risks analysis and the treatment of missingvalues via multiple imputation. Other additions include new diagnostic measuresafter Cox regression, Statas new treatment of categorical variables and interactions,and a new syntax for obtaining prediction and diagnostics after Cox regression.After reading this book, you will understand the formulas and gain intuition abouthow various survival analysis estimators work and what information they exploit. Youwill also acquire deeper, more comprehensive knowledge of the syntax, features,and underpinnings of Statas survival analysis routines.Taylor & Francis
  4. 4.    Statystyka medyczna i biostatystyka4 www.abe.plAnalysis of Capture-Recapture Data9781439836590 15.11.2013Oprawa: twarda£ 49,99Byron J T Morgan (University of Kent, UKWritten for researchers and graduate students in statistics, demography, and thesocial sciences, this reference provides an overview of capture-recapture—thestatistical methods used to estimate population size. It covers model developmentand examines the technicalities of model diagnostics, an often overlooked aspect inpractice. The authors provide examples to demonstrate the statistical nuances thatare encountered with complex modeling. They use real-world data sets throughoutthe text and include stand-alone software programs, such as R and WinBUGS.Chapters contain exercises to assist with reader assimilation of the material.Taylor & FrancisAnalysis of Mixed Data9781439884713 30.01.2013Oprawa: twarda£ 57,99Alexander R. De LeonA comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods& Applications summarizes the fundamental developments in the field. Case studiesare used extensively throughout the book to illustrate interesting applications fromeconomics, medicine and health, marketing, and genetics. Carefully edited forsmooth readability and seamless transitions between chapters All chapters follow acommon structure, with an introduction and a concluding summary, and includeillustrative examples from real-life case studies in developmental toxicology,economics, medicine and health, marketing, and genetics An introductory chapterprovides a "wide angle" introductory overview and comprehensive survey of mixeddata analysis Blending theory and methodology, this book illustrates concepts viadata from different disciplines. Analysis of Mixed Data: Methods & Applicationstraces important developments, collates basic results, presents terminology andmethodologies, and gives an overview of statistical research applications. It is avaluable resource to methodologically interested as well as subject matter-motivatedresearchers in many disciplines.Taylor & FrancisAnalysis of Variance for Functional Data9781439862735 11.07.2013Oprawa: twarda£ 63,99Jin-Ting ZhangThis book presents the updated hypothesis testing methods developed in the lastdecade for FDA The subjects include reconstructing functional observations,Gaussian processes, analysis of variance for functional data, functional linearmodels, ill-conditioned functional linear models, diagnostics of functionalobservations, variable selection for functional linear models, Behrens-Fisherproblems for functional data, test of equal covariance functions, and surface dataanalysis.Taylor & FrancisAnalyzing the Large Number of Variables inBiomedical and Satellite Imagery9780470927144 19.04.2011Oprawa: miękka£ 43,50Phillip I. GoodThis book grew out of an online interactive offered through statcourse.com , and itsoon became apparent to the author that the course was too limited in terms of timeand length in light of the broad backgrounds of the enrolled students. Thestatisticians who took the course needed to be brought up to speed both on thebiological context as well as on the specialized statistical methods needed to handlelarge arrays. Biologists and physicians, even though fully knowledgeable concerningthe procedures used to generate microaarrays, EEGs, or MRIs, needed a fullintroduction to the resampling methods-the bootstrap, decision trees, andpermutation tests, before the specialized methods applicable to large arrays couldbe introduced. As the intended audience for this book consists both of statisticiansand of medical and biological research workers as well as all those research workerswho make use of satellite imagery including agronomists and meteorologists, thebook provides a step-by-step approach to not only the specialized methods neededto analyze the data from microarrays and images, but also to the resamplingmethods, step-down multi-comparison procedures, multivariate analysis, as wellWiley...Applied Bayesian Hierarchical Methods9781584887201 19.05.2010Oprawa: twarda£ 62,99Peter D. CongdonBayesian methods facilitate the analysis of complex models and data structures.Emphasizing data applications, alternative modeling specifications, and computerimplementation, this book provides a practical overview of methods for Bayesiananalysis of hierarchical models. It focuses on applications in the health and socialsciences, particularly spatial and clinical epidemiology, political science, andeconometrics. The text also covers such topics as Bayesian factor analysis andincludes a range of worked examples in WinBUGS, BayesX, and R. The authordemonstrates not only the flexibility of Bayesian techniques but also the rigor thatcan be obtained by using Bayesian model checking techniques.Taylor & FrancisApplied Biostatistics for the HealthSciences9780470147641 13.01.2010Oprawa: twarda£ 86,95Richard J. RossiBiostatistics is quickly becoming one of the most important areas of statistics due tothe tremendous increase in health care needs. This book successfully introduces theterminology, concepts, and correct uses and interpretation of biostatistics. It is idealfor practitioners as well as students going into health care fields. Pedagogicalfeatures include formulas highlighted in text boxes and chapter summaries thathighlight key vocabulary and concepts for the chapter. An accompanying Web siteprovides both MINITAB(r) and Microsoft(r) Office Excel(r) data files data for the casestudies and exercises that are contained in the text.Wiley
  5. 5.    Statystyka medyczna i biostatystykawww.abe.pl 5Applied Linear Models with SAS9780521761598 10.05.2010Oprawa: twarda£ 48,00Daniel ZeltermanThis textbook for a second course in basic statistics for undergraduates or first-yeargraduate students introduces linear regression models and describes other linearmodels including Poisson regression, logistic regression, proportional hazardsregression, and nonparametric regression. Numerous examples drawn from thenews and current events with an emphasis on health issues illustrate theseconcepts. Assuming only a pre-calculus background, the author keeps equations toa minimum and demonstrates all computations using SAS. Most of the programsand output are displayed in a self-contained way, with an emphasis on theinterpretation of the output in terms of how it relates to the motivating example.Plenty of exercises conclude every chapter. All of the datasets and SAS programsare available from the books website, along with other ancillary material.Cambridge University PressApplied Meta-Analysis with R9781466505995 09.07.2013Oprawa: twarda£ 57,99Ding-Geng ChenThis book provides a thorough presentation of meta-analysis for clinical trial datawith detailed step-by-step illustrations on implementation in R. The examples arebased on actual experience of the authors in many areas of clinical drugdevelopment. Actual examples of clinical trials are presented and afterunderstanding the application, the various clinical trial methods inherent in theclinical trials are identified. Presentation reflects a case study approach with R.Taylor & FrancisApplied Statistics for Network Biology:Methods in Systems Biology9783527327508 20.04.2011Oprawa: twarda£ 115,00Matthias DehmerThe book introduces to the reader a number of cutting edge statistical methodswhich can e used for the analysis of genomic, proteomic and metabolomic datasets. In particular in the field of systems biology, researchers are trying to analyze asmany data as possible in a given biological system (such as a cell or an organ). Theappropriate statistical evaluation of these large scale data is critical for the correctinterpretation and different experimental approaches require different approaches forthe statistical analysis of these data. This book is written by biostatisticians andmathematicians but aimed as a valuable guide for the experimental researcher aswell computational biologists who often lack an appropriate background in statisticalanalysis.WileyArtificial Neural Networks in Biologicaland Environmental Analysis9781439812587 14.02.2011Oprawa: twarda£ 59,99Grady HanrahanOriginating from models of biological neural systems, artificial neural networks (ANN)are the cornerstones of artificial intelligence research. Catalyzed by the upsurge incomputational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks havehad a profound impact in the elucidation of complex biological, chemical, andenvironmental processes. Artificial Neural Networks in Biological and EnvironmentalAnalysis provides an in-depth and timely perspective on the fundamental,technological, and applied aspects of computational neural networks. Presentingthe basic principles of neural networks together with applications in the field, thebook stimulates communication and partnership among scientists in fields asdiverse as biology, chemistry, mathematics, medicine, and environmental science.This interdisciplinary discourse is essential not only for the success of independentand collaborative research and teaching programs, but also for the continuedinterest in the use of neural network tools in scientific inquiry.Taylor & FrancisBayesian Adaptive Methods for ClinicalTrials9781439825488 20.07.2010Oprawa: twarda£ 62,99Donald A. BerryAlready popular in the analysis of medical device trials, adaptive Bayesian designsare increasingly being used in drug development for a wide variety of diseases andconditions, from Alzheimers disease and multiple sclerosis to obesity, diabetes,hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs,Bayesian Adaptive Methods for Clinical Trials explores the growing role of Bayesianthinking in the rapidly changing world of clinical trial analysis. The book firstsummarizes the current state of clinical trial design and analysis and introduces themain ideas and potential benefits of a Bayesian alternative. It then gives an overviewof basic Bayesian methodological and computational tools needed for Bayesianclinical trials. With a focus on Bayesian designs that achieve good power and Type Ierror, the next chapters present Bayesian tools useful in early (Phase I) and middle(Phase II) clinical trials as well as two recent Bayesian adaptive Phase II studies: theBATTLE and ISPY-2 trials. In the following chapter on late (Phase III) studies, theauthors emphasize modern adaptive methods and seamless Phase II-III trials formaximizing information usage and minimizing trial duration.Taylor & FrancisBayesian Analysis Made Simple: AnExcel GUI for WinBUGS9781439839546 02.09.2011Oprawa: twarda£ 46,99Phil WoodwardFrom simple NLMs to complex GLMMs, this book describes how to use the GUI forWinBUGS - BugsXLA - an Excel add-in written by the author that allows a range ofBayesian models to be easily specified. With case studies throughout, the textshows how to routinely apply even the more complex aspects of modelspecification, such as GLMMs, outlier robust models, random effects Emax models,auto-regressive errors, and Bayesian variable selection. It provides brief, up-to-datediscussions of current issues in the practical application of Bayesian methods. Theauthor also explains how to obtain free software to get started immediately.Taylor & Francis
  6. 6.    Statystyka medyczna i biostatystyka6 www.abe.plBayesian Biostatistics9780470018231 27.07.2012Oprawa: twarda£ 45,00Andrew B. LawsonThe growth of biostatistics has been phenomenal in recent years and has beenmarked by considerable technical innovation in both methodology andcomputational practicality. One area that has experienced significant growth isBayesian methods. The growing use of Bayesian methodology has taken placepartly due to an increasing number of practitioners valuing the Bayesian paradigmas matching that of scientific discovery. In addition, computational advances haveallowed for more complex models to be fitted routinely to realistic data sets.Through examples, exercises and a combination of introductory and more advancedchapters, this book provides an invaluable understanding of the complex world ofbiomedical statistics illustrated via a diverse range of applications taken fromepidemiology, exploratory clinical studies, health promotion studies, image analysisand clinical trials.WileyBayesian Disease Mapping9781466504813 24.04.2013Oprawa: twarda£ 57,99Andrew B. LawsonSince the publication of the first edition, many new Bayesian tools and methodshave been developed for space-time data analysis, the predictive modeling of healthoutcomes, and other spatial biostatistical areas. Exploring these new developments,Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, SecondEdition provides an up-to-date, cohesive account of the full range of Bayesiandisease mapping methods and applications. A biostatistics professor and WHOadvisor, the author illustrates the use of Bayesian hierarchical modeling in thegeographical analysis of disease through a range of real-world datasets. New to theSecond Edition Three new chapters on regression and ecological analysis, putativehazard modeling, and disease map surveillance Expanded material on case eventmodeling and spatiotemporal analysis New and updated examples Two newappendices featuring examples of integrated nested Laplace approximation (INLA)and conditional autoregressive (CAR) models In addition to these new topics, thebook covers more conventional areas such as relative risk estimation, clustering,spatial survival analysis, and longitudinal analysis.Taylor & FrancisBayesian Inference for Gene Expressionand Proteomics9781107636989 30.04.2012Oprawa: miękka£ 30,00Kim-Anh DoThe interdisciplinary nature of bioinformatics presents a research challenge inintegrating concepts, methods, software and multiplatform data. Although therehave been rapid developments in new technology and an inundation of statisticalmethods for addressing other types of high-throughput data, such as proteomicprofiles that arise from mass spectrometry experiments. This book discusses thedevelopment and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancerresearch, as well as molecular and structural biology. The Bayesian approach hasthe advantage that evidence can be easily and flexibly incorporated into statisticalmethods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesianmethodology, tools and software for single group inference, group comparisons,classification and clustering, motif discovery and regulatory networks, and Bayesiannetworks and gene interactions.Cambridge University PressBayesian Methods in Epidemiology9781466564978 05.11.2013Oprawa: twarda£ 57,99BroemelingA valuable reference for epidemiologists, biostatisticians, and graduate students,this book presents an introduction to epidemiology that uses Bayesian statisticalmethods to explore the association between disease and risk. It includes a briefintroduction to the concepts of epidemiology, the basic elements of Bayesianstatistics, and the types of epidemiologic studies that can be analyzed by Bayesianmethods. For each problem in epidemiology, the Bayesian analysis is derived andexplained.Taylor & FrancisBayesian Methods in Health Economics9781439895559 16.11.2012Oprawa: twarda£ 57,99Gianluca BaioHealth economics is concerned with the study of the cost-effectiveness of healthcare interventions. This book provides an overview of Bayesian methods for theanalysis of health economic data. After an introduction to the basic economicconcepts and methods of evaluation, it presents Bayesian statistics using accessiblemathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation,notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesisand hierarchical models and Markov models. The text uses WinBUGS and JAGSwith datasets and code available online.Taylor & FrancisBenefit Risk Analysis in PharmaceuticalResearch and Development9781439867945 05.09.2013Oprawa: twarda£ 57,99SashegyiThis work presents an overview of benefit-risk assessment approaches forpharmaceutical research and development. It covers various decision-making pointsalong the R&D spectrum that would benefit from benefit risk analysis, includingduring lead development and optimization, early and late planning of clinicaldevelopment, and regulatory review. The book also looks at health outcomes andcomparative effectiveness analysis. In addition, the authors address current andfuture barriers to using risk-benefit modeling, including greater regulatoryacceptance.Taylor & Francis
  7. 7.    Statystyka medyczna i biostatystykawww.abe.pl 7Biosimilars: Design and Analysis ofFollow-on Biologics9781466579699 23.08.2013Oprawa: twarda£ 57,99Shein-Chung ChowThis is the first book entirely devoted to the design and analysis for assessment ofbiosimilarity and drug interchangeability of biosimilars, and test for comparability inmanufacturing processes of biologic products. It covers all of the statistical issuesthat may occur in biosimilar studies under various study designs at various stages ofresearch and development of biologic products.Taylor & FrancisBiostatistical Analysis9780132065023 01.08.2007Oprawa: miękka£ 56,99Jerrold H. ZarZars Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate andundergraduate students seeking practical coverage of statistical analysis methodsused by researchers to collect, summarize, analyze and draw conclusions frombiological research. The latest edition of this best-selling textbook is bothcomprehensive and easy to read. It is suitable as an introduction for beginningstudents and as a comprehensive reference book for biological researchers and foradvanced students. This book is appropriate for a one- or two-semester, junior orgraduate-level course in biostatistics, biometry, quantitative biology, or statistics,and assumes a prerequisite of algebra.Pearson EducationBiostatistical Methods: The Assessmentof Relative Risks9780470508220 25.01.2011Oprawa: twarda£ 87,50John M. LachinPraise for the First Edition "...an excellent textbook ...an indispensable reference forbiostatisticians and epidemiologists." - International Statistical Institute A new editionof the definitive guide to classical and modern methods of biostatistics Biostatisticsconsists of various quantitative techniques that are essential to the description andevaluation of relationships among biologic and medical phenomena. BiostatisticalMethods: The Assessment of Relative Risks, Second Edition develops basicconcepts and derives an expanded array of biostatistical methods through theapplication of both classical statistical tools and more modern likelihood-basedtheories. With its fluid and balanced presentation, the book guides readers throughthe important statistical methods for the assessment of absolute and relative risks inepidemiologic studies and clinical trials with categorical, count, and event-time data.Presenting a broad scope of coverage and the latest research on the topic, theauthor begins with categorical data analysis methods for cross-sectional,prospective, and retrospective studies of binary, polychotomous, and ordinal data.WileyBiostatistics for the Biological andHealth Sciences9780321546494 23.11.2007Oprawa: twarda£ 69,99Marc TriolaBiostatistics for the Biological and Health Sciences is the result of collaborationbetween the author of the #1 statistics book in the country and an expert in thebiological sciences field. The major objective of this book is to provide the bestpossible introduction to statistics for students and professors in the biological, life,and health sciences. This goal is realized through a friendly writing style, content thatreflects the important features of a modern introductory statistics course, anabundance of real data and biological applications, and a variety of pedagogicalcomponents to help students succeed in their study of biological statistics.Pearson EducationBiostatistics in Action9781439879849 15.09.2013Oprawa: twarda£ 57,99Florin Vaida (University of California, San Diego,Designed for medical researchers without a background in statistics, this text takesreaders easily from basic boxplots and t-tests to linear and logistic regression andsurvival analysis to more complex generalized linear and nonlinear models andlongitudinal data analysis. With many examples and data drawn from real biomedicalresearch, the book focuses on practical statistical analyses using SPSS. It requiresno prior statistical background and only assumes familiarity with elementarymathematics. A solutions manual and figures slides are available with qualifyingcourse adoption.Taylor & FrancisBiostatistics with R9781461413011 17.12.2011Oprawa: miękka€ 54,95Babak ShahbabaBiostatistics with R is designed to mimic the interaction between theory andapplication in statistics. Most topics are motivated by real examples first, and afterdiscussing a topic, the author shows how it can be applied to the problem thatmotivated it. Topics include data exploration, estimation, and clustering with twoappendices on installing and running R and R-commander. This author discussesbasic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is intended for a wide range ofreaders from people with relatively strong analytical background, who want to learnabout statistics and its application in biology, to non-statistician scientists, who usestatistical methods in their research.Springer
  8. 8.    Statystyka medyczna i biostatystyka8 www.abe.plBiostatistics: A Computing Approach9781584888345 09.01.2012Oprawa: twarda£ 41,99Stewart AndersonThe emergence of high-speed computing has facilitated the development of manyexciting statistical and mathematical methods in the last 25 years, broadening thelandscape of available tools in statistical investigations of complex data.Biostatistics: A Computing Approach focuses on visualization and computationalapproaches associated with both modern and classical techniques. Furthermore, itpromotes computing as a tool for performing both analyses and simulations that canfacilitate such understanding. As a practical matter, programs in R and SAS arepresented throughout the text. In addition to these programs, appendicesdescribing the basic use of SAS and R are provided. Teaching by example, thisbook emphasizes the importance of simulation and numerical exploration in amodern-day statistical investigation. A few statistical methods that can beimplemented with simple calculations are also worked into the text to build insightabout how the methods really work.Taylor & FrancisBiosurveillance: Methods and CaseStudies9781439800461 05.11.2010Oprawa: twarda£ 62,99Taha Kass-HoutBiosurveillance: Methods and Case Studies addresses the problems and promise oftimely biosurveillance, with a particular focus on the role it must play. It describes ageneral concept of operations with reference information system architecture andinvestigates the primary assumptions that are needed to assure the success of abiosurveillance initiative. Numerous case studies focus on local, regional, andnational implementation. The book also explores future innovations inbiosurveillance, including advances in analytical methods, modeling, and simulation.Taylor & FrancisCausal Inference9781420076165 05.08.2013Oprawa: twarda£ 31,99Miguel A. HernanThe application of causal inference methods is growing exponentially in fields thatdeal with observational data. Written by pioneers in the field, this practical bookpresents an authoritative yet accessible overview of the methods and applications ofcausal inference. With a wide range of detailed, worked examples using realepidemiologic data as well as software for replicating the analyses, the text providesa thorough introduction to the basics of the theory for non-time-varying treatmentsand the generalization to complex longitudinal data.Taylor & FrancisClinical Trial Data Analysis Using R9781439840207 17.12.2010Oprawa: twarda£ 59,99Ding-Geng (Din) ChenToo often in biostatistical research and clinical trials, a knowledge gap existsbetween developed statistical methods and the applications of these methods.Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentationof biostatistical analyses of clinical trial data and shows step by step how toimplement the statistical methods using R. The books practical, detailed approachdraws on the authors 30 years of real-world experience in biostatistical researchand clinical development. Each chapter presents examples of clinical trials based onthe authors actual experiences in clinical drug development. Various biostatisticalmethods for analyzing the data are then identified. The authors develop analysiscode step by step using appropriate R packages and functions. This approachenables readers to gain an understanding of the analysis methods and Rimplementation so that they can use R to analyze their own clinical trial data. Withstep-by-step illustrations of R implementations, this book shows how to easily use Rto simulate and analyze data from a clinical trial.Taylor & FrancisClinical Trial Design9780470581711 09.02.2012Oprawa: twarda£ 76,95Guosheng YinA balanced treatment of the theories, methodologies, and design issues involved inclinical trials using statistical methods There has been enormous interest anddevelopment in Bayesian adaptive designs, especially for early phases of clinicaltrials. However, for phase III trials, frequentist methods still play a dominant rolethrough controlling type I and type II errors in the hypothesis testing framework.From practical perspectives, Clinical Trial Design: Bayesian and Frequentist AdaptiveMethods provides comprehensive coverage of both Bayesian and frequentistapproaches to all phases of clinical trial design. Before underpinning variousadaptive methods, the book establishes an overview of the fundamentals of clinicaltrials as well as a comparison of Bayesian and frequentist statistics. Recognizingthat clinical trial design is one of the most important and useful skills in thepharmaceutical industry, this book provides detailed discussions on a variety ofstatistical designs, their properties, and operating characteristics for phase I, II, andIII clinical trials as well as an introduction to phase IV trials. Many practical issuesand challenges arising in clinical trials are addressed.WileyClinical Trial Methodology9781584889175 20.07.2010Oprawa: twarda£ 62,99Karl E. PeaceDrawing from the authors courses on the subject as well as the first authors morethan 30 years working in the pharmaceutical industry, "Clinical Trial Methodology"emphasizes the importance of statistical thinking in clinical research and presentsthe methodology as a key component of clinical research. From ethical issues andsample size considerations to adaptive design procedures and statistical analysis,the book first covers the methodology that spans every clinical trial regardless of thearea of application. Bioequivalence clinical trials are then discussed. The finalchapters incorporate real-world case studies of clinical trials from the authors ownexperiences.Taylor & Francis
  9. 9.    Statystyka medyczna i biostatystykawww.abe.pl 9Clinical Trials Dictionary9781118295151 28.09.2012Oprawa: twarda£ 90,50Curtis L. MeinertA thoroughly updated new edition of the essential reference on the design, practice,and analysis of clinical trials Clinical Trials Dictionary: Terminology and UsageRecommendations, Second Edition presents clear, precise, meticulously detailedentries on all aspects of modern-day clinical trials. Written and compiled by one ofthe worlds leading clinical trialists, this comprehensive volume incorporates areas ofmedicine, statistics, epidemiology, computer science, and bioethics--providing atreasure trove of key terms and ideas. This new edition continues to supply readerswith the A--Z terminology needed to design, conduct, and analyze trials, introducinga vocabulary for the characterization and description of related features andactivities. More than 300 new entries are now included, reflecting the current usagepractices and conventions in the field, along with usage notes withrecommendations on when to use the term in question. Detailed biographical noteshighlight prominent historical figures and institutions in the field, and an extensivebibliography has been updated to provide readers with additional resources forfurther study.WileyClinical Trials Handbook9781118218464 11.12.2012Oprawa: twarda£ 100,00Curtis L. MeinertThe success or failure of clinical trials hinges on hundreds of details that need to bedeveloped, often under less than ideal conditions. Written by one of the worldsleading trialists, Clinical Trials Handbook: Design and Conduct provides clinicianswith a complete guide to designing, conducting, and evaluating clinical trials—teaching them how to simplify the process and avoid costly mistakes.The author draws on his extensive clinical trials experience to outline all stepsemployed in setting up and running clinical trials, from budgeting and fundraising topublishing the results. Along the way, practical advice is offered while alsoaddressing a mix of logistical, ethical, psychological, behavioral, and administrativeissues inherent to clinical trials. Topics of coverage include: Protocols for drug masking, controls, and treatment randomization Consent, enrollment, eligibility, and follow-up procedures Different types of sample size design and data collection and processing Working with study centers, research staff, and various committeesWileyClinical Trials in Oncology9781439814482 30.05.2012Oprawa: twarda£ 63,99John CrowleyThe third edition of the bestselling Clinical Trials in Oncology provides a concise,nontechnical, and thoroughly up-to-date review of methods and issues related tocancer clinical trials. The authors emphasize the importance of proper study design,analysis, and data management and identify the pitfalls inherent in these processes.In addition, the book has been restructured to have separate chapters andexpanded discussions on general clinical trials issues, and issues specific to PhasesI, II, and III. New sections cover innovations in Phase I designs, randomized Phase IIdesigns, and overcoming the challenges of array data. Although this book focuseson cancer trials, the same issues and concepts are important in any clinical setting.As always, the authors use clear, lucid prose and a multitude of real-world examplesto convey the principles of successful trials without the need for a strong statistics ormathematics background. Armed with Clinical Trials in Oncology, Third Edition,clinicians and statisticians can avoid the many hazards that can jeopardize thesuccess of a trial.Taylor & FrancisClustering in Bioinformatics and DrugDiscovery9781439816783 16.11.2010Oprawa: twarda£ 56,99John David MacCuishThis book presents an introduction to cluster analysis and algorithms in the contextof drug discovery clustering applications. It provides the key to understandingapplications in clustering large combinatorial libraries (in the millions of compounds)for compound acquisition, HTS results, 3D lead hopping, gene expression fortoxicity studies, and protein reaction data. Bringing together common and emergingmethods, the text covers topics peculiar to drug discovery data, such asasymmetric measures and asymmetric clustering algorithms as well as clusteringambiguity and its relation to fuzzy clustering and overlapping clustering algorithms.Taylor & FrancisComparing Clinical MeasurementMethods9780470694237 06.08.2010Oprawa: twarda£ 54,95Bendix CarstensenThis book provides a practical guide to analysis of simple and complex methodcomparison data, using Stata, SAS and R. It takes the classical Limits of Agreementas a starting point, and presents it in a proper statistical framework. The modelserves as a reference for reporting sources of variation and for providing conversionequations and plots between methods for practical use, including predictionuncertainty. Presents a modeling framework for analysis of data and reporting ofresults from comparing measurements from different clinical centers and/or differentmethods. Provides the practical tools for analyzing method comparison studiesalong with guidance on what to report and how to plan comparison studies andadvice on appropriate software. Illustrated throughout with computer examples in R.Supported by a supplementary website hosting an R-package that performs themajor part of the analyses needed in the area. Examples in SAS and Stata for themost common situations are also provided.WileyComparing Groups: Randomization andBootstrap Methods Using R9780470621691 01.07.2011Oprawa: twarda£ 55,50Andrew S. ZiefflerA hands-on guide to using R to carry out key statistical practices in educational andbehavioral sciences research Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can nowbe addressed by research scientists applying newly derived data analytictechniques. Comparing Groups: Randomization and Bootstrap Methods Using Remphasizes the direct link between scientific research questions and data analysis.Rather than relying on mathematical calculations, this book focus on conceptualexplanations and the use of statistical computing in an effort to guide readersthrough the integration of design, statistical methodology, and computation toanswer specific research questions regarding group differences. Utilizing the widely-used, freely accessible R software, the authors introduce a modern approach topromote methods that provide a more complete understanding of statisticalconcepts. Following an introduction to R, each chapter is driven by a researchquestion, and empirical data analysis is used to provide answers to that question.Wiley
  10. 10.    Statystyka medyczna i biostatystyka10 www.abe.plControversial Statistical Issues inClinical Trials9781439849613 22.06.2011Oprawa: twarda£ 66,99Shein-Chung ChowIn clinical trial practice, controversial statistical issues inevitably occur regardless ofthe compliance with good statistical practice and good clinical practice. But byidentifying the causes of the issues and correcting them, the study objectives ofclinical trials can be better achieved. Controversial Statistical Issues in Clinical Trialscovers commonly encountered controversial statistical issues in clinical trials and,whenever possible, makes recommendations to resolve these problems. The bookfocuses on issues occurring at various stages of clinical research and development,including early-phase clinical development (such as bioavailability/bioequivalence),bench-to-bedside translational research, and late-phase clinical development.Numerous examples illustrate the impact of these issues on the evaluation of thesafety and efficacy of the test treatment under investigation. The author also offersrecommendations regarding possible resolutions of the problems. Written by one ofthe preeminent experts in the field, this book provides a useful desk reference andstate-of-the art examination of problematic issues in clinical trials for scientists in thepharmaceutical industry, medical/statistical reviewers in government regulatoryTaylor & Francis...Correlated Frailty Models in SurvivalAnalysis9781420073881 03.08.2010Oprawa: twarda£ 69,99Andreas WienkeThe concept of frailty offers a convenient way to introduce unobservedheterogeneity and associations into models for survival data. In its simplest form,frailty is an unobserved random proportionality factor that modifies the hazardfunction of an individual or a group of related individuals. Frailty Models in SurvivalAnalysis presents a comprehensive overview of the fundamental approaches in thearea of frailty models.The book extensively explores how univariate frailty models can representunobserved heterogeneity. It also emphasizes correlated frailty models asextensions of univariate and shared frailty models. The author analyzes similaritiesand differences between frailty and copula models; discusses problems related tofrailty models, such as tests for homogeneity; and describes parametric andsemiparametric models using both frequentist and Bayesian approaches. He alsoshows how to apply the models to real data using the statistical packages of R,SAS, and Stata. The appendix provides the technical mathematical results usedthroughout.Taylor & FrancisData Analysis and Statistics for Geography,Environmental Science & Engineering9781439885017 28.12.2012Oprawa: twarda£ 63,99Miguel F. AcevedoProviding a solid foundation for twenty-first-century scientists and engineers, DataAnalysis and Statistics for Geography, Environmental Science, and Engineeringguides readers in learning quantitative methodology, including how to implementdata analysis methods using open-source software. Given the importance ofinterdisciplinary work in sustainability, the book brings together principles ofstatistics and probability, multivariate analysis, and spatial analysis methodsapplicable across a variety of science and engineering disciplines. Learn How to Usea Variety of Data Analysis and Statistics Methods Based on the authors many yearsof teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material invarious countries and types of curricula. The first part covers probability, randomvariables and inferential statistics, applications of regression, time series analysis,and analysis of spatial point patterns. The second part uses matrix algebra toaddress multidimensional problems.Taylor & FrancisData Analysis in Forensic Science9780470998359 09.04.2010Oprawa: twarda£ 55,00Franco TaroniThis is the first text to examine the use of statistical methods in forensic science andbayesian statistics in combination. The book is split into two parts: Part Oneconcentrates on the philosophies of statistical inference. Chapter One examines thedifferences between the frequentist, the likelihood and the Bayesian perspectives,before Chapter Two explores the Bayesian decision-theoretic perspective further,and looks at the benefits it carries. Part Two then introduces the reader to thepractical aspects involved: the application, interpretation, summary and presentationof data analyses are all examined from a Bayesian decision-theoretic perspective. Awide range of statistical methods, essential in the analysis of forensic scientific datais explored. These include the comparison of allele proportions in populations, thecomparison of means, the choice of sampling size, and the discrimination of itemsof evidence of unknown origin into predefined populations. Throughout this practicalappraisal there are a wide variety of examples taken from the routine work offorensic scientists. These applications are demonstrated in the ever-more popular Rlanguage.WileyDesign and Analysis of Bridging Studies9781439846346 08.08.2012Oprawa: twarda£ 63,99Chin-Fu HsiaoAs the development of medicines has become more globalized, the geographicvariations in the efficacy and safety of pharmaceutical products need to beaddressed. To accelerate the product development process and shorten approvaltime, researchers are beginning to design multiregional trials that incorporatesubjects from many countries around the world under the same protocol. Designand Analysis of Bridging Studies addresses the issues arising from bridging studiesand multiregional clinical trials. For bridging studies, the book explores ethnicsensitivity, the necessity of bridging studies, types of bridging studies, and theassessment of similarity between regions based on bridging evidence. Formultiregional clinical trials, the text considers regional differences, assesses theconsistency of treatment effect across regions, and discusses sample sizedetermination for each region. Taking into account the International ConferenceHarmonisation (ICH) E5 framework for bridging studies, the book provides a unifiedsummary of the growing literature and research activities in this area.Taylor & FrancisDesign and Analysis of Experiments inthe Health Sciences9780470127278 29.01.2010Oprawa: twarda£ 40,50Gerald Van BelleAn accessible and practical approach to the design and analysis of experiments inthe health sciences Design and Analysis of Experiments in the Health Sciencesprovides a balanced presentation of design and analysis issues relating to data inthe health sciences and emphasizes new research areas, the crucial topic of clinicaltrials, and state-of-the- art applications. Advancing the idea that design drivesanalysis and analysis reveals the design, the book clearly explains how to applydesign and analysis principles in animal, human, and laboratory experiments whileillustrating topics with applications and examples from randomized clinical trials andthe modern topic of microarrays. The authors outline the following five types ofdesigns that form the basis of most experimental structures: Completely randomizeddesigns Randomized block designs Factorial designs Multilevel experimentsRepeated measures designs A related website features a wealth of data sets thatare used throughout the book, allowing readers to work hands-on with the material.In addition, an extensive bibliography outlines additional resources for further studyof the presented topics.Wiley
  11. 11.    Statystyka medyczna i biostatystykawww.abe.pl 11Design and Analysis of Non-inferiorityTrials9781584888048 13.07.2011Oprawa: twarda£ 59,99Mark D. RothmannThe increased use of non-inferiority analysis has been accompanied by aproliferation of research on the design and analysis of non-inferiority studies. "Designand Analysis of Non-Inferiority Trials" brings together this body of research andconfronts the issues involved in the design of a non-inferiority trial. Using examplesfrom real clinical trials, the book discusses general and regulatory issues andillustrates how they affect analysis. Each chapter begins with a non-technicalintroduction, so the subject is easily understood by those without prior knowledge ofnon-inferiority clinical trials. This book also provides detailed mathematicalapproaches along with their mathematical properties.Taylor & FrancisDesign and Analysis of Quality of LifeStudies in Clinical Trials9781420061178 07.01.2010Oprawa: twarda£ 62,99Diane L. FaircloughFocusing on longitudinal studies, Design and Analysis of Quality of Life Studies inClinical Trials, Second Edition addresses design and analysis aspects in enoughdetail so that readers can apply statistical methods, such as mixed effect models, totheir own studies. The author illustrates the implementation of the methods usingthe statistical software packages SAS, SPSS, and R.New to the Second EditionData sets available for download online, allowing readers to replicate the analysespresented in the textNew chapter on testing models that involve moderation and mediationRevised discussions of multiple comparisons procedures that focus on theintegration of health-related quality of life (HRQoL) outcomes with other studyoutcomes using gatekeeper strategiesRecent methodological developments for the analysis of trials with missing dataNew chapter on quality adjusted life-years (QALYs) and QTWiST specific toclinical trialsTaylor & FrancisDesign of Experiments and LinearRegression in the Biological Sciences9781439808788 05.09.2013Oprawa: twarda£ 49,99Salvador Alejandro GezanWritten in simple language with relevant examples, this illustrative introductory bookpresents best practices in experimental design and simple data analysis. Taking apractical and intuitive approach, it only uses mathematical formulae to formalize themethods where necessary and appropriate. The text features extended discussionsof examples that include real data sets arising from research. The authors analyzedata in detail to illustrate the use of basic formulae for simple examples while usingthe GenStat(R) statistical package for more complex examples. Each chapter offersinstructions on how to obtain the example analyses in GenStat and R.Taylor & FrancisDose Finding by the ContinualReassessment Method9781420091519 09.03.2011Oprawa: twarda£ 52,99Ying Kuen CheungAs clinicians begin to realize the important role of dose-finding in the drugdevelopment process, there is an increasing openness to "novel" methodsproposed in the past two decades. In particular, the Continual ReassessmentMethod (CRM) and its variations have drawn much attention in the medicalcommunity, though it has yet to become a commonplace tool. To overcome thestatus quo in phase I clinical trials, statisticians must be able to design trials usingthe CRM in a timely and reproducible manner. A self-contained theoreticalframework of the CRM for researchers and graduate students who set out to learnand do research in the CRM and dose-finding methods in general, Dose Finding bythe Continual Reassessment Method features: Real clinical trial examples thatillustrate the methods and techniques throughout the book Detailed calibrationtechniques that enable biostatisticians to design a CRM in timely manner Limitationsof the CRM are outlined to aid in correct use of method This book supplies practical,efficient dose-finding methods based on cutting edge statistical research.Taylor & FrancisEncyclopaedic Companion to MedicalStatistics9780470684191 17.12.2010Oprawa: twarda£ 65,00Brian S. EverittStatistical methodology is of great importance to medical research and clinicalpractice. The Encyclopaedic Companion to Medical Statistics contains readableaccounts of the key topics central to current research and practice. Each entry hasbeen written by an individual chosen for both their expertise in the field and theirability to communicate statistical concepts successfully to medical researchers. Realexamples from the biomedical literature and relevant illustrations feature in manyentries and extensive cross-referencing signposts the reader to related entries. KeyFeatures: Contains accounts of over 400 statistical topics central to current medicalresearch. 80# of first edition entries updated and revised. Presents the latesttechniques used at the cutting edge of medical research. Covers common errors instatistical analyses in medicine. Real examples from the biomedical literature andrelevant illustrations feature throughout. Contains contributions from over 70 expertsin the field. Medical researchers, researchers and practitioners in medical researchand statistics will benefit greatly from this book.WileyEncyclopedia of BiopharmaceuticalStatistics9781439822456 20.05.2010Oprawa: twarda£ 540,00Shein-Chung ChowAvailable in both print and online versions, this is the definitive statistics reference forbiopharmaceutical research and manufacturing, presenting current standards andbest practices for the laboratory, manufacturing, and statistical design, investigation,and analysis. Thoroughly exploring emerging technologies, concepts, and trends,this second edition incorporates 69 new sections on subjects ranging from in vitrobioequivalence testing and dissolution profile comparison to bridging studies,MedDRA, vaccine clinical trials, and medical devices. It reviews recent amendmentsto regulatory requirements and presents newer statistical methods applicable to thedrug development, review, and approval processes.Taylor & Francis
  12. 12.    Statystyka medyczna i biostatystyka12 www.abe.plEncyclopedia of Environmetrics9780470973882 30.10.2012Oprawa: twarda£ 1090,00Abdel H. El-ShaarawiThis is an expanded and revised edition of an essential reference work for universitylibraries, research laboratories, government institutions and consultanciesconcerned with the environmental sciences. The Encyclopedia offers comprehensivecoverage of the wide range of topics, techniques and applications that comprise thismultidisciplinary field. Key features of the new edition: * Expanded to six volumes toreflect developments in Environmetrics techniques and applications during pastdecade* Over 60% of articles in this edition are new or revised* A new section:Environmental Engineering and Technology* Increased breadth and depth ofcoverage in key application areas such as climate science and hydrologicalprocesses* Revised and updated treatment of methodology including spatial-temporal statistics, computational statistics and modeling extremes* Greateremphasis on practitioner oriented content. Publishing in both print and online theEncyclopedia will be an invaluable aid to researchers, lecturers, students,consultants and policymakers engaged in ecological statistics, climate change,geostatistics, natural resources, risk assessment, environmental health, physicalWiley...Environmental Statistics with R, SecondEdition9781439810279 17.10.2013Oprawa: twarda£ 57,99Steven P Millard (Consultant, Seattle, Washing-Condensed and reorganized, this comprehensive second edition covers most of thestatistical methods used in the field and now features the use of both R and S-Plussoftware. Continuing to emphasize lognormal distributions, censored data, andcomputing, this edition includes additional material on equivalence testing. It alsoillustrates environmental sampling designs using the public domain package VSP. Inaddition, the authors provide a detailed discussion of spatial mapping proceduresand spatial mapping analysis in R. Along with updated problem sets and newexamples, this edition contains numerous new references that bring the research upto date.Taylor & FrancisEpidemiology9781439839706 06.12.2013Oprawa: twarda£ 49,99WoodwardBuilding an up-to-date understanding of the methodologies that can be used toshape public health policies, Epidemiology: Study Design and Data Analysis,Second Edition encompasses the study of epidemiology from the observation ofassociations between risk factors and disease to the use of practical, data-supported analyses. It presents study designs commonly used for a wide range ofpurposes, and covers the spectrum of statistical principles and analytical tools usedin epidemiological research, such as techniques used in report writing, descriptiveanalyses, statistical models and synthesis of evidence.New Material in This Edition Includes:Systematic evaluationMeta-analysisRegression dilutionCase-cohort studiesCase-crossover studiesTaylor & FrancisEpidemiology Foundations: TheScience of Public Health9780470402894 25.01.2011Oprawa: miękka£ 50,00Peter J. FosEpidemiology Foundations is an accessible introduction to epidemiology. Thiscomprehensive resource covers the topic including information on its foundations,history, health and disease, descriptive epidemiology, measurement, study designs,uses, epidemics, social epidemiology, screening, community health, and globalhealth. This book has been developed to closely respond to recommendations bythe Consensus Conference on Undergraduate Public Health Education and isdesigned for use an introductory text for a course in epidemiology or in any classthat features the topic epidemiology.WileyEquivalency and Noninferiority Testingin Clinical Trials9781466561496 06.10.2013Oprawa: twarda£ 49,99Tie-Hua NgThis book focuses on the rationale of choosing the noninferiority (NI) margin as asmall fraction of the therapeutic effect of the active control in a clinical trial. Itdiscusses issues of estimating the effect size based on historical placebo controltrials of the active control. The book also covers basic concepts related to NI trials,such as essay sensitivity, constancy assumption, discounting, and preservation.Other topics described include patient populations, three-arm trials, and testingequivalence of three or more groups.Taylor & FrancisEssential Mathematics and Statistics forForensic Science9780470742532 16.04.2010Oprawa: miękka£ 27,50Craig AdamThis text is an accessible, student-friendly introduction to the wide range ofmathematical and statistical tools needed by the forensic scientist in the analysis,interpretation and presentation of experimental measurements. From a basis of highschool mathematics, the book develops essential quantitative analysis techniqueswithin the context of a broad range of forensic applications. This clearly structuredtext focuses on developing core mathematical skills together with an understandingof the calculations associated with the analysis of experimental work, including anemphasis on the use of graphs and the evaluation of uncertainties. Through a broadstudy of probability and statistics, the reader is led ultimately to the use of Bayesianapproaches to the evaluation of evidence within the court. In every section, forensicapplications such as ballistics trajectories, post-mortem cooling, aspects of forensicpharmacokinetics, the matching of glass evidence, the formation of bloodstains andthe interpretation of DNA profiles are discussed and examples of calculations areworked through. In every chapter there are numerous self-assessment problems toaid student learning.Wiley
  13. 13.    Statystyka medyczna i biostatystykawww.abe.pl 13Evidence Synthesis for Decision Makingin Healthcare9780470061091 11.05.2012Oprawa: twarda£ 45,00Alexander J. SuttonIn the evaluation of healthcare, rigorous methods of quantitative assessment arenecessary to establish interventions that are beneficial, are superior to all alternativesand are cost-effective. Usually one study will not provide answers to these questionsand it will be necessary to synthesize evidence from multiple sources. This bookaims to outline a coherent approach to such evidence synthesis, for the purpose ofdecision making. Each chapter contains worked examples, exercises and solutionsdrawn from a variety of medical disciplines Evidence Syntesis for Decision Makingintends to provide a practical guide to the appropriate methods for synthesizingevidence for use in analytical decision models. More specifically, it proposes acomprehensive evidence synthesis framework, which models all the available dataappropriately and efficiently in a format that can be incorporated directly into adecision model.WileyExercises and Solutions in BiostatisticalTheory9781584887225 02.11.2010Oprawa: miękka£ 25,99Lawrence L. KupperDrawn from nearly four decades of Lawrence L. Kuppers teaching experiences as adistinguished professor in the Department of Biostatistics at the University of NorthCarolina, Exercises and Solutions in Biostatistical Theory presents theoreticalstatistical concepts, numerous exercises, and detailed solutions that span topicsfrom basic probability to statistical inference. The text links theoretical biostatisticalprinciples to real-world situations, including some of the authors own biostatisticalwork that has addressed complicated design and analysis issues in the healthsciences. This classroom-tested material is arranged sequentially starting with achapter on basic probability theory, followed by chapters on univariate distributiontheory and multivariate distribution theory. The last two chapters on statisticalinference cover estimation theory and hypothesis testing theory. Each chapterbegins with an in-depth introduction that summarizes the biostatistical principlesneeded to help solve the exercises. Exercises range in level of difficulty from fairlybasic to more challenging (identified with asterisks).Taylor & FrancisExercises and Solutions in StatisticalTheory9781466572898 24.05.2013Oprawa: miękka£ 38,99Lawrence L. KupperDesigned for teaching a course in statistical theory in a variety of disciplines,including statistics, biostatistics, mathematics, engineering, physics, computerscience, and psychometrics, this book contains two main sections: Probability andDistribution Theory and Statistical Inference. The first contains exercises andselected solutions in probability theory, univariate distribution theory, andmultivariate distribution theory. The second contains exercises and selectedsolutions in estimation theory and hypothesis testing theory. The exercises vary indifficulty from basic to intermediate to advanced and solutions for about half theexercises are included, with a separate solutions manual with detailed solutionsmade available for instructors.Taylor & FrancisExpect the Unexpected: A First Coursein Biostatistics9789814291323 31.08.2010Oprawa: twarda£ 39,00Raluca BalanStatistical reasoning and modeling are of critical importance to modern biology. Thistextbook introduces fundamental concepts from probability and statistics which willpave the way for the student of biology to become a well-rounded scientist. Noprevious study of probability or statistics is assumed. Calculus topics are not usedextensively in this book, though some integration and differentiation are expected.The calculus prerequisite is primarily intended to assure a certain level ofmathematical maturity. This book puts emphasis on examples, which are presentedto motivate the theory. The presentation style is concise and self-contained, brieflyincluding the mathematical elements that are needed for studying probability andstatistics. The examples are relevant to students in the life sciences with interests ingenetics, biology, ecology, health, etc. We believe that aspects of probability theoryare of biological interest and that probability underlies the theory of inferentialstatistics. Thus, we place an equal emphasis on probability and statistics which areboth essential for solving and understanding many types of biological problems.World Scientific PublishingExploratory Multivariate Analysis byExample Using R9781439835807 17.11.2010Oprawa: twarda£ 56,99Francois HussonFull of real-world case studies and practical advice, Exploratory Multivariate Analysisby Example Using R focuses on four fundamental methods of multivariateexploratory data analysis that are most suitable for applications. It covers principalcomponent analysis (PCA) when variables are quantitative, correspondence analysis(CA) and multiple correspondence analysis (MCA) when variables are categorical,and hierarchical cluster analysis. The authors take a geometric point of view thatprovides a unified vision for exploring multivariate data tables. Within this framework,they present the principles, indicators, and ways of representing and visualizingobjects that are common to the exploratory methods. The authors show how to usecategorical variables in a PCA context in which variables are quantitative, how tohandle more than two categorical variables in a CA context in which there areoriginally two variables, and how to add quantitative variables in an MCA context inwhich variables are categorical. They also illustrate the methods and the ways theycan be exploited using examples from various fields.Taylor & FrancisFlexible Imputation of Missing Data9781439868249 19.04.2012Oprawa: twarda£ 57,99Stef Van BuurenMissing data form a problem in every scientific discipline, yet the techniquesrequired to handle them are complicated and often lacking. One of the great ideas instatistical science—multiple imputation—fills gaps in the data with plausible values,the uncertainty of which is coded in the data itself. It also solves other problems,many of which are missing data problems in disguise.Flexible Imputation of Missing Data is supported by many examples using real datataken from the authors vast experience of collaborative research, and presents apractical guide for handling missing data under the framework of multipleimputation. Furthermore, detailed guidance of implementation in R using theauthor’s package MICE is included throughout the book.Taylor & Francis
  14. 14.    Statystyka medyczna i biostatystyka14 www.abe.plForward-Time Population GeneticsSimulations9780470503485 21.04.2010Oprawa: miękka£ 60,50Bo PengThe rapid increase of the power of personal computers has led to the use of serioussimulation programs such as easy POP in genetic studies. This book summarizesrecent advances in forward-time simulation methods and demonstrates theirapplications in population genetics and genetic epidemiology. The authors introducecommonly used forward-time population genetics simulation methods, includingsome new methods, and introduce a forward-time population genetics simulationenvironment, simuPOP, as a powerful and flexible tool to implement thesesimulations. Researchers and students in population and statistical genetics will findthis book useful.WileyFoundational Statistics for Biologists: ATextbook with R9781439873380 15.10.2013Oprawa: twarda£ 44,99Ken A Aho (Idaho State University, Pocatello,Taking a biological perspective, this text provides an introduction to foundationaltopics in science, probability, and mathematical statistics for advancedundergraduate and graduate students in biology and related fields. It offerscomprehensive background material in probability and mathematical statistics,emphasizing Bayesian methods and biological applications throughout. The authordiscusses relevant issues in the philosophy of science as well as the design ofeffective experiments. He also uses an R package specifically developed todemonstrate ideas presented in the book.Taylor & FrancisFundamentals of Clinical Trials9781441915856 21.09.2010Oprawa: miękka€ 52,95Lawrence M. FriedmanThis is the fourth edition of a very successful textbook on clinical trials methodology,written by three recognized experts who have long and extensive experience in allareas of clinical trials. Most chapters have been revised considerably from the thirdedition. A chapter on ethics has been added and topics such as noninferiority andadaptive designs now receive considerable discussion. There is much new materialon adverse events, adherence, data monitoring, and issues in analysis. This book isintended for the clinical researcher who is interested in designing a clinical trial anddeveloping a protocol. It is also of value to researchers and practitioners who mustcritically evaluate the literature of published clinical trials and assess the merits ofeach trial and the implications for the care and treatment of patients. The authorsuse numerous examples of published clinical trials from a variety of medicaldisciplines to illustrate the fundamentals. The text is organized sequentially fromdefining the question to trial closeout. One chapter is devoted to each of the criticalareas to aid the clinical trial researcher.SpringerGaussian Process Regression Analysisfor Functional Data9781439837733 05.07.2011Oprawa: twarda£ 66,99Jian Qing ShiGaussian Process Regression Analysis for Functional Data presents nonparametricstatistical methods for functional regression analysis, specifically the methods basedon a Gaussian process prior in a functional space. The authors focus on problemsinvolving functional response variables and mixed covariates of functional and scalarvariables. Covering the basics of Gaussian process regression, the first severalchapters discuss functional data analysis, theoretical aspects based on theasymptotic properties of Gaussian process regression models, and newmethodological developments for high dimensional data and variable selection. Theremainder of the text explores advanced topics of functional regression analysis,including novel nonparametric statistical methods for curve prediction, curveclustering, functional ANOVA, and functional regression analysis of batch data,repeated curves, and non-Gaussian data. Many flexible models based on Gaussianprocesses provide efficient ways of model learning, interpreting model structure, andcarrying out inference, particularly when dealing with large dimensional functionaldata.Taylor & FrancisGeneralized Estimating Equations9781439881132 07.01.2013Oprawa: twarda£ 57,99James W. HardinGeneralized Estimating Equations, Second Edition updates the best-selling previousedition, which has been the standard text on the subject since it was published adecade ago. Combining theory and application, the text provides readers with acomprehensive discussion of GEE and related models. Numerous examples areemployed throughout the text, along with the software code used to create, run,and evaluate the models being examined. Stata is used as the primary software forrunning and displaying modeling output; associated R code is also given to allow Rusers to replicate Stata examples. Specific examples of SAS usage are provided inthe final chapter as well as on the book’s website.This second edition incorporates comments and suggestions from a variety ofsources, including the Statistics.com course on longitudinal and panel modelstaught by the authors. Other enhancements include an examination of GEE marginaleffects; a more thorough presentation of hypothesis testing and diagnostics,covering competing hierarchical models; and a more detailed examination ofpreviously discussed subjects.Taylor & FrancisGeneralized Linear Mixed Models9781439815120 19.10.2012Oprawa: twarda£ 57,99Walter W. StroupGeneralized Linear Mixed Models: Modern Concepts, Methods and Applicationspresents an introduction to linear modeling using the generalized linear mixed model(GLMM) as an overarching conceptual framework. For readers new to linear models,the book helps them see the big picture. It shows how linear models fit with the restof the core statistics curriculum and points out the major issues that statisticalmodelers must consider. Along with describing common applications of GLMMs,the text introduces the essential theory and main methodology associated withlinear models that accommodate random model effects and non-Gaussian data.Unlike traditional linear model textbooks that focus on normally distributed data, thisone adopts a generalized mixed model approach throughout: data for linearmodeling need not be normally distributed and effects may be fixed or random. Withnumerous examples using SAS(R) PROC GLIMMIX, this book is ideal for graduatestudents in statistics, statistics professionals seeking to update their knowledge, andresearchers new to the generalized linear model thought process.Taylor & Francis
  15. 15.    Statystyka medyczna i biostatystykawww.abe.pl 15Generalized Linear Models andExtensions9781597181051 06.07.2012Oprawa: miękka£ 49,99James W. HardinThis book presents a thorough examination of generalized linear model (GLM)estimation methods as well as the derivation of all major GLM families. Examinedfamilies include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric,and negative binomial. The text also contains various models that have beendeveloped on the basis of GLM theory, including GAM, ordered binomial models,multinomial logit and probit models, GEE and other quasi-likelihood models, fixedand random effects models, and random intercept and random parameter models.Using Stata, the book offers numerous examples to assist you in applying themodels to your own data situations.Taylor & FrancisGenomic Clinical Trials and PredictiveMedicine9781107401358 07.01.2013Oprawa: miękka£ 27,99Richard M. SimonGenomics is majorly impacting therapeutics development in medicine. This bookcontains up-to-date information on the use of genomics in the design and analysisof therapeutic clinical trials with a focus on novel approaches that provide a reliablebasis for identifying which patients are most likely to benefit from each treatment. Itis oriented to both clinical investigators and statisticians. For clinical investigators, itincludes background information on clinical trial design and statistical analysis. Forstatisticians and others who want to go deeper, it covers state-of-the-art adaptivedesigns and the development and validation of probabilistic classifiers. The authordescribes the development and validation of prognostic and predictive biomarkersand their integration into clinical trials that establish their clinical utility for informingtreatment decisions for future patients.Cambridge University PressGeostatistics: Modeling SpatialUncertainty9780470183151 19.04.2012Oprawa: twarda£ 83,50Jean-Paul ChilesThis second edition of one of the best-selling books on geostatistics providesthrough updates from two authoritative authors with over twenty years of experiencein the field. It removes information and data that have lost relevance with time whilemaintaining timeless, core methods and integrating them with new developments tothe field. The authors employ an applied focus on new aspects of geostatistics,including kernal methods, extreme values geostatistics, and modeling in geo-chronologic space. It can be used as a reference book for geostatisticians,physicists, and earth scientists in both industry and academia and as asupplemental text in related couses at the Ph.D level.WileyHandbook of Adaptive Designs inPharmaceutical and Clinical Development9781439810163 27.10.2010Oprawa: twarda£ 69,99Annpey PongThis comprehensive guide offers a unified presentation of the principles andmethodologies in adaptive design and analysis. It gives a well-balanced summary ofcurrent regulatory perspectives and recently developed statistical methods in thisarea. The handbook provides some insight regarding early phase and later phaseadaptive designs. With a focus on the implementation of adaptive methods in clinicaltrials, it introduces the concepts of role, responsibility, function, and activity of a datasafety monitoring board (DSMB) when applying these methods. Other importanttopics covered in detail include regulatory perspectives and logistics issues inapplying adaptive design methods.Taylor & FrancisHandbook of Functional MRI DataAnalysis9780521517669 22.08.2011Oprawa: twarda£ 50,00Russell Alan PoldrackFunctional magnetic resonance imaging (fMRI) has become the most popularmethod for imaging brain function. Handbook of Functional MRI Data Analysisprovides a comprehensive and practical introduction to the methods used for fMRIdata analysis. Using minimal jargon, this book explains the concepts behindprocessing fMRI data, focusing on the techniques that are most commonly used inthe field. This book provides background about the methods employed by commondata analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling andresting state network analysis, are also discussed. Readers of this book, whethernewcomers to the field or experienced researchers, will obtain a deep and effectiveknowledge of how to employ fMRI analysis to ask scientific questions and becomemore sophisticated users of fMRI analysis software.Cambridge University PressHandbook of Markov Chain MonteCarlo9781420079418 13.05.2011Oprawa: twarda£ 66,99Steve BrooksSince their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methodshave revolutionized statistical computing and have had an especially profoundimpact on the practice of Bayesian statistics. Furthermore, MCMC methods haveenabled the development and use of intricate models in an astonishing array ofdisciplines as diverse as fisheries science and economics. The wide-rangingpractical importance of MCMC has sparked an expansive and deep investigationinto fundamental Markov chain theory. The Handbook of Markov Chain Monte Carloprovides a reference for the broad audience of developers and users of MCMCmethodology interested in keeping up with cutting-edge theory and applications.The first half of the book covers MCMC foundations, methodology, and algorithms.The second half considers the use of MCMC in a variety of practical applicationsincluding in educational research, astrophysics, brain imaging, ecology, andsociology. The in-depth introductory section of the book allows graduate studentsand practicing scientists new to MCMC to become thoroughly acquainted with thebasic theory, algorithms, and applications.Taylor & Francis
  16. 16.    Statystyka medyczna i biostatystyka16 www.abe.plHandbook of Spatial Statistics9781420072877 23.03.2010Oprawa: twarda£ 69,99Alan E. GelfandAssembling a collection of very prominent researchers in the field, the Handbook ofSpatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to thematerial, providing cross-references among chapters. The handbook begins with ahistorical introduction detailing the evolution of the field. It then focuses on the threemain branches of spatial statistics: continuous spatial variation (point referenceddata)Taylor & FrancisHandbook of Statistical SystemsBiology9780470710869 21.10.2011Oprawa: twarda£ 120,00Michael StumpfSystems Biology is now entering a mature phase in which the key issues arecharacterising uncertainty and stochastic effects in mathematical models ofbiological systems. The area is moving towards a full statistical analysis andprobabilistic reasoning over the inferences that can be made from mathematicalmodels. This handbook presents a comprehensive guide to the discipline forpractitioners and educators, in providing a full and detailed treatment of theseimportant and emerging subjects. Leading experts in systems biology and statisticshave come together to provide insight in to the major ideas in the field, and inparticular methods of specifying and fitting models, and estimating the unknownparameters.This book:Provides a comprehensive account of inference techniques in systems biology.Introduces classical and Bayesian statistical methods for complex systems.Explores networks and graphical modeling as well as a wide range of statisticalmodels for dynamical systems.WileyHandbook of Statistics in ClinicalOncology9781439862001 04.04.2012Oprawa: twarda£ 76,99John CrowleyMany new challenges have arisen in the area of oncology clinical trials. New cancertherapies are often based on cytostatic or targeted agents, which pose newchallenges in the design and analysis of all phases of trials. The literature onadaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice, andstatistical methods on how to analyse such data have been refined in this area. Acompilation of statistical topics relevant to these new advances in cancer research,this third edition of Handbook of Statistics in Clinical Oncology focuses on thedesign and analysis of oncology clinical trials and translational research. Addressingthe many challenges that have arisen since the publication of its predecessor, thisthird edition covers the newest developments involved in the design and analysis ofcancer clinical trials, incorporating updates to all four parts: Phase I trials: Updatedrecommendations regarding the standard 3 + 3 and continual reassessmentapproaches, along with new chapters on phase 0 trials and phase I trial design fortargeted agents.Taylor & FrancisHandbook of Survival Analysis9781466555662 14.08.2013Oprawa: twarda£ 63,99John P. KleinThis handbook focuses on the analysis of lifetime data arising from the biologicaland medical sciences. It deals with semiparametric and nonparametric methods.For investigators new to this field, the book provides an overview of the topic alongwith examples of the methods discussed. It presents both classical methods andmodern Bayesian approaches to the analysis of data.Taylor & FrancisHandbook of Volatility Models and TheirApplications9780470872512 27.04.2012Oprawa: twarda£ 100,00Luc BauwensVolatility has become a hot topic in this era of instant communications, spawning agreat deal of research in empirical finance and time series econometrics. Providingan overview of the most recent advances, Handbook of Volatility Models and TheirApplications explores key concepts and topics essential for modeling the volatility offinancial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency.Featuring contributions from international experts in the field, the book featuresnumerous examples and applications from real-world projects and cutting-edgeresearch, showing step by step how to use various methods accurately andefficiently when assessing volatility rates. Following a comprehensive introduction tothe topic, readers are provided with three distinct sections that unify the statisticaland practical aspects of volatility:Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presentsARCH and stochastic volatility models, with a focus on recent research topicsincluding mean, volatility, and skewness spillovers in equity marketsWileyIntegrated Microsystems9781439836200 27.09.2011Oprawa: twarda£ 107,00Krzysztof IniewskiAs rapid technological developments occur in electronics, photonics, mechanics,chemistry, and biology, the demand for portable, lightweight integratedmicrosystems is relentless. These devices are getting exponentially smaller,increasingly used in everything from video games, hearing aids, and pacemakers tomore intricate biomedical engineering and military applications. Edited by KrisIniewski, a revolutionary in the field of advanced semiconductor materials, IntegratedMicrosystems: Electronics, Photonics, and Biotechnology focuses on techniques foroptimized design and fabrication of these intelligent miniaturized devices andsystems. Composed of contributions from experts in academia and industry aroundthe world, this reference covers processes compatible with CMOS integratedcircuits, which combine computation, communications, sensing, and actuationcapabilities. Light on math and physics, with a greater emphasis on microsystemdesign and configuration and electrical engineering, this book is organized in threesections-Microelectronics and Biosystems, Photonics and Imaging, andBiotechnology and MEMs.Taylor & Francis

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