Joint Statistical Meetings 2009

JSM 2009 – A Behind the Scenes Look                                                     ...
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Statistics News Volume 5

  1. 1. Joint Statistical Meetings 2009 JSM 2009 – A Behind the Scenes Look Visit Chapman & Hall/CRC It was several weeks before JSM 2007 when I got the email at Booth 304 – “Was I interested in being the JSM 2009 Program Every year at JSM Chapman & Hall/ Chair?” I immediately replied with a resounding YES! My CRC offers attendees the chance to save name and others were then submitted as potential chairs to on the best statistics books available. the Committee on Meetings. The committee chose me as the This year is no exception. You can build 2009 Program Chair, and my election was subsequently your library without breaking your bank. approved by Sally Morton, our current ASA President, and Save 50% on these classic books: the ASA Executive Board. Extending the Linear Model with R: One of my first tasks in late 2007 was to appoint two General Wendy L. Martinez Generalized Linear, Mixed Effects and Methods Chairs and the Poster Chair. These folks are very JSM 2009 Nonparametric Regression Models, Program Chair Julian J. Faraway important members of the program committee because they help me in many ways, such as with organizing the program, Handbook of Statistical Distributions filling in for other committee members, and more. The remaining members of the with Applications, K. Krishnamoorthy program committee are either appointed by a member society (e.g., IMS, SSC, etc.) or elected by their section. Generalized Linear Models with Random Effects: Unified Analysis via Around this same time, ASA President Morton picked the theme for our meeting, H-likelihood, Youngjo Lee, and she chose an exciting one – Statistics: From Evidence to Policy. While sessions John A. Nedler, and Yudi Pawitan do not have to address it, the theme is very important, as it tends to drive the con- R Graphics, Paul Murrell tent of the invited and topic-contributed sessions. Handbook of Parametric and To gain experience in the process, the JSM 2009 Program Committee had to Nonparametric Statistical Procedures, arrange some events for the previous year’s program. For example, the committee David J. Sheskin was responsible for organizing and scheduling the roundtable coffees and lunches for the 2008 meetings. We also started working on the invited program during this Linear Mixed Models: A Practical same time period – one year before our JSM! Guide Using Statistical Software, Brady West, Kathleen B. Welch, and Then, the hard (but exciting and fun!) work begins. The partner soci- Andrzej T. Galecki eties, the ASA sections, and other entities have a certain number of Generalized Additive Models: An invited sessions allocated to them. The appropriate committee Introduction with R, Simon Wood members can organize the sessions or solicit ideas from their members. The representatives for the ASA sections, com- The More You Buy, The More You Save mittees, and interest groups are allowed to submit two In addition to these books, our regular con- invited sessions for the competition slots, and the ference-tiered discounts are available on entire program committee votes on the ones they any book you purchase. Save 15% on one, think should be included in the program. This 20% on two, or 25% on three and more. was certainly a challenging and important part of the process because the invited sessions Drawings Held Daily are the backbone of the meetings. Come by our booth on Monday or Tuesday and enter to win one of the $100 gift cer- JSM 2009 - Washington, DC tificates. Come by on Wednesday for the From Evidence to Policy story continued on pg. 7 (JSM 2009) chance to win a $300 gift certificate. Summer 2009
  2. 2. StatisticsNewS What’s News NNN JSM HIGHLIGHTS NNN SATURDAY, AUGUST 1 Recent Advances and the Future of Statistics Invited Papers Missing Data in Longitudinal Studies: Strategies for Bayesian 198 Modeling and Sensitivity Analysis Brad Efron, co-author of An Introduction to the Bootstrap, exam- - Continuing Education Course CE_02C ines The Future of Indirect Evidence. Michael J. Daniels and Joseph W. Hogan authors of Missing Data TUESDAY, AUGUST 4 in Longitudinal Studies: Strategies for Bayesian Modeling and Monte Carlo and Bayesian Computation with R Sensitivity Analysis teach this course. - Continuing Education Course CE_25C SUNDAY, AUGUST 2 Maria Rizzo, author of Statistical Computing with R, instructs this Tolerance Intervals: Theory, Applications, and Computation course with James Albert. - Continuing Education Course CE_10C Comprehensive Data Analysis Using Interactive Statistical Presented by Kalimuthu Krishnamoorthy, author of Handbook of Graphics Statistical Distributions with Applications with Thomas Mathew. - Continuing Education Course CE_26C Hierarchical Modeling and Analysis of Spatial-Temporal Data: Martin Theus and Simon Urbanek present a short course based on Emphasis in Forestry, Ecology, and Environmental Sciences their book Interactive Graphics for Data Analysis: Interactive - Continuing Education Course CE_12C Graphics for Data Analysis. Sudipto Banerjee and Andrew Finley give a short course based on Advances in Spatial and Spatio-Temporal Modeling Invited Banerjee’s book: Hierarchical Modeling and Analysis for Spatial Papers 246 Data. Christopher Wikle, co-editor of the Interdisciplinary Statistics series, Recent Advances in Bayesian Model Selection Invited Papers 3 presents A Class of Nonlinear Spatio-Temporal Dynamic Models. David Madigan, editor of the Computer Science and Data Analysis IMS Medallion Lecture IV Invited Papers 250 series, discusses Sequential Bayesian Model Selection. Chaired by Galin L. Jones, co-author of Handbook of Markov Introductory Overview Lecture: Largely About Largeness: Chain Monte Carlo: Methods and Applications. Models And Views For High-Dimensional Data 41 Emerging Trends and Evidence in High-Dimensional "Omics" Organized by Wendy Martinez, co-author of the forthcoming investigations Invited Papers 290 Exploratory Data Analysis with MATLAB, Second Edition. David B. Allison, co-editor of DNA Microarrays and Related The Issue of High Dimensionality and Missing Data in Complex Genomics Techniques: Design, Analysis, and Interpretation of Epidemiological Studies Invited Papers 46 Experiments, explores Biostatistics' Rise As an Empirical Science: Nicholas P. Jewell, author of Statistics for Epidemiology, presents Genomic Research as the Leavening Agent. Estimating and Ranking the Impact of High-Dimensional Environmental Random Effect Specification/Misspecification in Spatial/Spatio- Risk Factors In Environmental Epidemiology. temporal Health Modeling Invited Papers 291 MONDAY, AUGUST 3 Organized by Andrew B. Lawson, author of Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology. Dose Finding Studies: Methods and Implementation - Continuing Education Course CE_16C WEDNESDAY, AUGUST 5 Frank Bretz, co-author of Multiple Comparisons Using R teaches Bayesian Methods in Medicine and Biology Invited Papers 448 this course with Jose C. Pinheiro. Organized by Wesley O. Johnson, co-author of Bayesian Ideas and IMS Medallion Lecture II Invited Papers 96 Data Analysis: An Introduction for Scientists and Statisticians. Chaired by Marina Meila, co-editor of the Computer Science and Statistics in Defense and National Security Roundtable with Data Analysis series. Lunch 487 Recent Advances in Missing Data and Causal Inference Invited Organized by Jeffrey L. Solka, co-author of Exploratory Data Papers 131 Analysis with MATLAB, Second Edition. Geert Molenberghs, co-author of Longitudinal Data Analysis dis- THURSDAY, AUGUST 6 cusses Every Missing Not At Ranom Model for Incomplete Data Has Introductory Overview Lecture: Statistical Learning and Data Got a Missing At Random Counterpart With Equal Fit. Joseph L. Mining 535 Schafer, author of Analysis of Incomplete Multivariate Data, offers Causal Modeling When the Treatment is a Latent Class. David J. Hand, co-author of ROC Curves for Continuous Data, explores Statistical Learning and Data Mining. JASA, Theory and Methods Invited Session Invited Papers 140 The Influence of Psychology, Cartography and Computer Raymond J Carroll, co-author of Measurement Error in Science on the Design of Interactive Graphics for Spatial Nonlinear Models: A Modern Perspective, Second Edition presents Prediction in Measurement Error Models with Aurore Statistical Data Invited Papers 540 Delaigle. Jianqing Fan, co-editor of the Monographs on Statistics Organized by Linda Williams Pickle, co-author of Visualizing Data and Applied Probability series and Susan Schennah are discussants in Patterns with Micromaps with Daniel B. Carr. Carr presents this session. Visualizing Patterns in Data with Micromaps in this session. 2
  3. 3. StatisticsNewS Frontiers Harnessing the Power of Computing Blurring the Line Between Users and Developers Are you tapping into all that R offers? Statistical Genetics: Operating at the intersection By now, most statisticians recognize R as one of the most flexible, integrated software environments for of human genetics and the statistical computing and graphics. Its exceptional mathematical sciences capacity for adaptability and its sophisticated presen- The analysis of genetic data has tation features make it the first choice of experienced become a science unto itself, with statisticians as well as researchers with minimal formal statisticians taking on a critical role. training in statistical software. Chapman & Hall/CRC Three new titles from CRC Press Press offers an array of books to help readers at various capture the state of the science in levels understand R and make use of its wide range of this fascinating field. applications. Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Focusing on problems arising in the Second Edition (August 2009) continues to offer straightforward descriptions of how to analysis of genetics and genomics, use R and interpret the results. Authors Brian S. Everitt and Torsten Hothorn include Statistics in Human Genetics and new chapters on graphical displays, generalized additive models, and simultaneous Molecular Biology (July 2009) pro- inference, as well as a new section on generalized linear mixed models. In SAS and R: vides a graduate textbook of statisti- Data Management, Statistical Analysis, and Graphics (July 2009), Ken Kleinman and cal methods used in genetics. Nicholas J. Horton present an easy way to learn how to perform an analytical task in Author Cavan Reilly covers cluster both SAS and R, without having to navigate through the extensive, idiosyncratic, and analysis, combinatorial optimiza- sometimes unwieldy software documentation. Introduction to Data Technologies tion, and dynamic programming, (March 2009), written by R guru Paul Murrell, a member of the R Development Core along with the core topics of genome Team, provides important information on how to work with research data. Murrell mapping, biological sequence analy- devotes separate chapters to each computer language, including R. sis, and the analysis of gene expres- sion arrays. He also explores Bayesian approaches, such as hidden “One of the core features of the R environment, which it inherited from S, is that there is a deliberate blurring of the distinction between users and developers. The Markov models and black motif system encourages and facilitates the development of new functionality. …new methods, along with modern tools of developments in research are implemented in software and communicated Bayesian analysis, including Markov between researchers much more rapidly than ever before.” chain Monte Carlo (MCMC). —Paul Murrell With the diversity of data and meta- Hidden Markov Models for Time Series: An Introduction Using R (April 2009), data now available, there is authored by Walter Zucchini and Iain L. MacDonald demonstrates how to apply increased interest in analyzing mul- HMMs to a wide range of time series types and discusses how to employ R to carry out tiple studies beyond statistical computations for parameter estimation, model selection and checking, decoding, and approaches of formal meta-analysis. forecasting. In Computational Statistics: An Introduction to R (January 2009), Meta-analysis and Combining Günther Sawitzki also illustrates how R can be employed to tackle statistical problems. Information in Genetics and Genomics (July 2009) is the first Unlike most guides to R, Introduction to Scientific Programming and Simulation book devoted to meta-analysis in Using R (March 2009) by Owen Jones, Robert Maillardet, and Andrew Robinson does genetics. Addressing the complica- not focus on the application of statistical techniques, but rather shows how to turn tions inherent in comparing and algorithms into code. This introductory book surveys a range of useful mathematical replicating genetic studies, leading tools that either require or are illuminated by scientific computation. Another intro- experts consider microarrays, gene ductory text, An Introduction to Statistical Inference and Its Applications with R mapping, and proteomics while (June 2009) by Michael W. Trosset, explains how statistical methods are used for data detailing the various techniques analysis and uses the elementary functions of R to perform the individual steps of sta- used to analyze and combine data tistical procedures. from different types of studies. Most of these books offer code and supplemental material online. For more details story continued on pg. 6 (Statistical Genetics) about any of these, or other related works, please visit 3
  4. 4. StatisticsBooks Reading Beyond the Normal Distribution StatisticsbookS Recently Published and Forthcoming Titles Call for Authors: Introductory Statistics Analysis of Messy Data Volume 1 The Chapman & Hall/CRC Texts in Applied Stochastic Modelling Designed Experiments, Second Edition Statistical Science Series Second Edition George A. Milliken and Dallas E. Johnson Byron J.T. Morgan Kansas State University, Manhattan, USA For more than a quarter of a century, this internationally recognized series has fostered University of Kent, UK Catalog no. C3340, March 2009, 674 pp. the growth of statistical science by publishing upper level textbooks of high quality at Catalog no. C6668, January 2009, 368 pp. ISBN: 978-1-58488-334-0, $89.95 / £54.99 reasonable prices. These texts, which cover new frontiers and developments in core Soft Cover, ISBN: 978-1-58488-666-2 areas, continue to have a major role in shaping the discipline through the education $59.95 / £29.99 Hidden Markov Models for Time of young scientists both in statistics and in fields where the role of statistics is becom- Series ing increasingly important. An Introduction to Statistical An Introduction Using R Inference and Its Applications Walter Zucchini If you are interested in writing a textbook in statistics, please contact: with R University of Gottingen, Germany Michael W. Trosset Iain L. MacDonald University of Indiana, Bloomington, USA University of Cape Town, South Africa Contact Editor: Sunil Nair, Catalog no. C9470, June 2009, 496 pp. Catalog no. C5734, April 2009, 288 pp. Series Editors: Bradley P. Carlin, ISBN: 978-1-58488-947-2, $79.95 / £48.99 ISBN: 978-1-58488-573-3, $79.95 / £48.99 Julian J. Faraway, Interactive Graphics for Data Introduction to Spatial Jim Zidek, Analysis Econometrics Principles and Examples James LeSage Martin A. Tanner, Martin Theus McCoy College of Business Administration, San Marcos, Munich, Germany Texas, USA Simon Urbanek Robert Kelley Pace Recently Published and Forthcoming Titles Madison, New Jersey, USA Louisiana State University, Baton Rouge, USA Catalog no. C5947, January 2009, 290 pp. Catalog no. C6424, January 2009, 340 pp. Computational Statistics Environmental Statistics Data and Safety Monitoring Sample Sizes for Clinical Trials ISBN: 978-1-58488-594-8, $79.95 / £39.99 ISBN: 978-1-4200-6424-7, $89.95 / £54.99 An Introduction to R Committees in Clinical Trials Steven A. Julious Günther Sawitzki Statistical Detection and Jay Herson University of Sheffield, UK Statistical Theory & Methods Computational Statistics StatLab, Heidelberg, Germany Surveillance of Geographic John Hopkins University, Baltimore, Maryland, USA Catalog no. C7397, August 2009, 323 pp. Catalog no. C6782, January 2009, 264 pp. Clusters Catalog no. C7037, March 2009, 191 pp. ISBN: 978-1-58488-739-3, $79.95 / £48.99 Logistic Regression Models A Handbook of Statistical ISBN: 978-1-4200-8678-2, $79.95 / £48.99 Peter Rogerson ISBN: 978-1-4200-7037-8, $89.95 / £54.99 Joseph M. Hilbe Analyses using SAS University of Buffalo, New York, USA Statistical Genetics Jet Propulsion Laboratory, California Institute of Technology, Third Edition Introduction to Scientific Ikuho Yamada Bayesian Methods for Measures University of Utah, Salt Lake City, USA Pasadena, USA and Arizona State University, Tempe, USA Geoff Der Programming and Simulation of Agreement Meta-analysis and Combining Catalog no. C7575, May 2009, 656 pp. University of Glasgow, Scotland Using R Catalog no. C9357, January 2009, 324 pp. Lyle D. Broemeling Information in Genetics and Brian S. Everitt ISBN: 978-1-58488-935-9, $89.95 / £57.99 ISBN: 978-1-4200-7575-5, $79.95 / £48.99 King's College, University of London, UK Owen Jones, Robert Maillardet, Medical Lake, Washington, USA Genomics and Andrew Robinson Catalog no. C3414, January 2009, 340 pp. Edited by Applied Statistical Inference with Catalog no. C7842, January 2009, 392 pp. University of Melbourne, Parkville, Australia BioStatistics ISBN: 978-1-4200-8341-5, $89.95 / £54.99 Rudy Guerra MINITAB Soft Cover, ISBN: 978-1-58488-784-3 Catalog no. C6872, March 2009, 472 pp. Rice University, Houston, Texas, USA Sally Lesik $54.95 / £34.99 ISBN: 978-1-4200-6872-6, $79.95 / £48.99 Design and Analysis of Cluster Randomised Trials Darlene R. Goldstein Central Connecticut State University, New Britain, USA Bioavailability and Bioequivalence Richard J. Hayes EPFL SB IMA STAT, Switzerland Catalog no. C6583, September 2009, c. 443 pp. A Handbook of Statistical Introduction to Data Technologies Studies London School of Hygiene & Tropical Medicine, UK Catalog no. C522X, July 2009, 360 pp. ISBN: 978-1-4200-6583-1, $89.95 / £54.99 Analyses Using R Paul Murrell Third Edition Lawrence H. Moulton ISBN: 978-1-58488-522-1, $99.95 / £63.99 Second Edition The University of Auckland, New Zealand Shein-Chung Chow Johns Hopkins Bloomberg School of Public Health, Regression Modeling Brian S. Everitt Catalog no. C6517, February 2009, 418 pp. Duke University School of Medicine, Durham, North Baltimore, USA Statistics in Human Genetics and Methods, Theory, and Computation with King's College, University of London, UK ISBN: 978-1-4200-6517-6, $69.95 / £42.99 Carolina, USA Catalog no. C8164, January 2009, 338 pp. Molecular Biology Torsten Hothorn Jen-pei Liu ISBN: 978-1-58488-816-1, $89.95 / £54.99 Cavan Reilly SAS National Taiwan University, Taipei Catalog no. C7933, August 2009, 376 pp. Text Mining University of Minnesota, Minneapolis, USA Michael Panik University of Hartford, Connecticut, USA Soft Cover, ISBN: 978-1-4200-7933-3 Classification, Clustering, and Catalog no. C6684, January 2009, 760 pp. Design and Analysis of Clinical Catalog no. C7263, June 2009, 280 pp. $54.95 / £34.99 Applications ISBN: 978-1-58488-668-6, $99.95 / £63.99 Trials with Time-to-Event ISBN: 978-1-4200-7263-1, $59.95 / £38.99 Catalog no. C1972, April 2009, 830 pp. ISBN: 978-1-4200-9197-7, $99.95 / £60.99 Edited by Endpoints Gene Expression Studies Using SAS and R Ashok Srivastava Translational Medicine Edited by Data Management, Statistical Analysis, Ames Research Center, Moffett Field, California, USA Strategies and Statistical Methods Affymetrix Microarrays ROC Curves for Continuous Data Karl E. Peace Hinrich Gohlmann and Willem Talloen Wojtek J. Krzanowski and Graphics Mehran Sahami Edited by Georgia Southern University, Statesboro, USA Stanford University, California, USA Dennis Cosmatos Johnson & Johnson, Beerse, Belgium University of Exeter, UK Ken Kleinman Catalog no. C6639, April 2009, 616 pp. Harvard Medical School, Boston, Massachusetts, USA Catalog no. C5940, June 2009, 328 pp. Wyeth ISBN: 978-1-4200-6639-5, $99.95 / £60.99 Catalog no. C6515, June 2009, 359 pp. David J. Hand Imperial College, London, UK Nicholas. J Horton ISBN: 978-1-4200-5940-3, $79.95 / £48.99 Shein-Chung Chow ISBN: 978-1-4200-6515-2, $89.95 / £54.99 Smith College, Northampton, Massachusetts, USA Duke University School of Medicine, Durham, North Catalog no. K10031, May 2009, 232 pp. Carolina, USA ISBN: 978-1-4398-0021-8, $69.95 / £42.99 Catalog no. C7057, July 2009, 351 pp. ISBN: 978-1-4200-7057-6, $69.95 / £44.99 Catalog no. C8725, January 2009, 224 pp. ISBN: 978-1-58488-872-7, $89.95 / £57.99 4 Free Shipping when you order online at • Enter promo code FMH33 and Save 15%. 5
  5. 5. StatisticsNewS Partners in Publishing Scaling New Heights Through Synergy Taylor & Francis Journals Introducing New Design & Analysis — online and in print Software Bundles for Pharmaceutical R&D Communications in Statistics: Simulation and Computation and Communications in Statistics: Theory and Methods includes From Chapman & Hall/CRC & PharmaSoftware Solutions, Inc. papers on advance theory and methods in the computational aspects of Probability Sample Size Calculations in Clinical and Statistics. This pair of related journals, Research, Second Edition & edited by N. Balakrishnan, presents formu- lation and discussion of problems as well as N Solution 2007 Basic solutions in all areas of statistics, including The Book: This second edition of a bestselling refer- graphic methods, resampling, and compu- ence features new chapters on dose finding, microarray tationally intensive methods. In addition, studies, and Bayesian approaches. The Software the journals provide exhaustive coverage enables quick and easy sample size calculation and and up-to-date reviews of key topics by power analysis. It contains all the procedures for testing publishing special issues. equality, superiority/non-inferiority and equivalence for comparing means, proportions, and time-to-event Sequential Analysis, edited by Nitis data. In addition, sensitivity analyses for each procedure are also included. Mukhopadhyay, contributes to theoretical Catalog no. K10700, $249.95 / £132.00 and applied aspects of sequential and applied methodologies in all areas of statis- tical science. Published Design and Analysis of Bioavailability papers highlight the devel- opment of new and impor- and Bioequivalence Studies, tant sequential Third Edition & approaches, and BABE Solution 2008 Basic interdisciplinary The Book: This edition of a bestseller features four articles empha- new chapters that present a thorough account of size the method- novel developments in the field. The Software, based ology of practical on the book, is the first devoted to the design and value to applied analysis of Bioavailability/Bioequivalence and features researchers and BE assessment of in vivo Bioequivalence studies. statistical consultants. Catalog no. K10699, $299.95 / £167.00 Best Paper Award 2008 from Journal of Nonparametric Statistics Statistical Genetics (continued from pg. 3) The Journal of Nonparametric Statistics and the ASA Section on Nonparametric One of the best tools for Statistics are pleased to give the Best gene expression studies is the Keeping abreast of the ever-changing landscape Paper Award in 2008 to P.L. Davies and of human genetics, CRC resources continue to M. Meise for their paper Approximating Affymetrix GeneChip®. This explore the latest cutting-edge research that data with weighted smoothing splines platform is the most broadly can make a difference in the lives of many. adopted single-color tech- published in Journal of Nonparametric nology used in academic labs, clinics, and commercial entities. Gene Statistics Volume 20, Number 3, April Expression Studies Using Affymetrix Microarrays (CRC Press, June 2009) pro- 2008, 207-228. This paper will be FREE to vides a detailed and systematic introduction as well as a practical user’s guide to view online in 2009. this promising technology, including the use of R and other software for To access the paper and for further microarray analysis. The text also includes a wealth of information and key ter- information about these and other journals, minology regarding microarray gene expression studies in general. please visit: 6
  6. 6. StatisticsNewS Pioneers Plotting the Future David J. Hand is a professor of statistics A key member of the development team for at Imperial College in London, where the R and Omegahat projects, Paul Murrell is among his diverse areas of responsibility, one of the foremost innovators of the R envi- he is chair of Statistical Methods in the ronment. Focusing his research on statistical Retail Financial Services Research computing and graphics, Dr. Murrell is the Group. Dr. Hand serves as president of author of the bestselling R Graphics (2005) the Royal Statistical Society and is a and the recently published Introduction to Fellow of the British Academy. He has Data Technologies (February 2009). He is a been a recipient of the Guy Medal of the Royal Statistical senior lecturer at the University of Auckland. It was at Society, the Royal Society Wolfson Research Merit Auckland that he came under the influence of Robert Award, and the IEEE ICDM Research Contributions Gentleman and Ross Ihaka—the noted R & R team that orig- Award. He has published countless papers and more than inated the R environment—and found his path. “When I 20 books, including the newly available ROC Curves found myself writing my own plotting software to produce for Continuous Data (May 2009), with co- charts for a psychology project report, I took it as an author Wojtek J. Krzanowski. He also indicator of where my interests really lay.” launched the journal Statistics and Currently, XML and its vast research potential Computing and served a term as editor of has Dr. Murrell’s attention. As for the future the Journal of the Royal Statistical Society, of statistics, he says, “From a research per- Series C. Dr. Hand’s broad research spective, developing software tools needs to interests include multivariate statis- be a recognized career path in statistics so tics, classification methods, pattern that people consider it as an option and are detection, and the interface between rewarded for making that career choice. statistics and computing. His influence From an educational perspective, statistics curriculums need to formally address topics and advice has led to improvements in in statistical computing, so that people have organizations ranging from banks to phar- the necessary skills to be able to engage in soft- maceutical companies to governments. ware research.” Those lucky enough to assist him or attend his lectures have ample opportunity to wit- ness both those perspectives in practice. JSM 2009 (continued from pg. 1) There are also several invited session categories that are cho- You probably realize by now that I had a lot of help putting sen at the discretion of the JSM Program Chair, such as ASA the program together, and I would like to take this opportu- journals, outside societies, ASA committees, memorial ses- nity to acknowledge the help of many people. First, I would sions, and Introductory Overview Lectures. The General like to thank our ASA President, Sally Morton for her excel- Methods Chairs and I also had some lent leadership and support. The JSM invited session slots that we could fill. I think that this is one of the important Program Committee, the General Thus, we could somewhat shape the challenges that all members of the program Methods Chairs, and the Poster Chair program via these selections. committee faced – organizing a balanced did the bulk of the work organizing the program and not letting our biases and program. In particular, our JSM Poster Most of the invited program was final- interests motivate our choices. ized by December 2008, after which we Chair, Lara Schmidt did an outstand- turned our attention to the contributed ing job putting together and promoting program. Proposed invited sessions that did not make it on the poster sessions. We could not do anything without the won- program could be converted to topic contributed sessions. derful people at the ASA Meetings Department: Donna However, for the most part, the JSM Program Committee just Arrington, Kathleen Wert, and Steve Porzio. I want to say a had to wait for contributed abstracts to roll in, which they did. special thank you to Donna, who was responsible for the JSM We received approximately 500 more abstracts (on average) technical program. She was always helpful, cheerful, and than the previous two meetings! Needless to say, this present- patient with our many questions and issues. Of course, the ed some significant scheduling challenges to the ASA JSM could not happen without the participation of the pre- Meetings Department and the JSM Program Committee, and senters, chairs, organizers, exhibitors, and all attendees – so everyone did a great job handling these and many other issues. thank you for making this JSM an event to remember! 7
  7. 7. StatisticsNewS Nexus Making the Most Out of those Complex Datasets in the Social and Behavioral Sciences Fit linear Large and complex datasets are becoming increasingly prevalent in the social and models behavioral sciences. The Chapman & Hall/CRC Statistics in the Social and Behavioral without Sciences Series makes the lives of statisticians working in the applied sciences easier by exploring the effective and efficient use of statistical, econometric, and psychometric intercepts methods. Two new books in the series explore the latest methods and tools in this rapidly growing area. in SAS or R A. Colin Cameron joins the distinguished panel of series editors that include Andrew Gelman, J. Scott Long, Sophia Rabe-Hesketh, and Anders Skrondal. Dr. Cameron is a professor in the Department of Economics at the University of California, Davis and has served as the Routines for linear models in SAS and Director of the U.C. Davis Center on Quantitative Social Science Research. R incorporate an intercept by default. But, what's the syntax for fitting a Emphasizing causation as a functional relationship between variables that describe model without an intercept? This entry objects, Linear Causal Modeling with Structural Equations (2009), by Stanley A. from SAS and R: Data Management, Mulaik, integrates a general philosophical theory of causation with structural equation Statistical Analysis, and Graphics modeling that concerns the special case of linear causal relations. In addition to (July 2009) will tell you. describing how the functional relation concept may be generalized to treat probabilis- tic causation, the book reviews historical treatments of causation and explores recent The book is designed as a bilingual developments in experimental psychology on studies of the perception of causation. In SAS/R dictionary: If you know SAS, Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences (2009) you can look up the noint option in the Brian S. Everitt goes beyond the usual coverage of hypothesis testing to provide a full SAS index. If you know R, you can explanation of the most useful methods for comparing and examining data in psychol- look up the 0 operator, or if you're ogy, the social sciences, and law. He includes real data sets that provide a sampling of unaware of how to do it in either, you the issues commonly encountered when applying statistics in practice. can look up no intercept in the subject index. In partnership with Stata Press, Chapman Hall/CRC offers Microeconometrics Using Stata (2009), co-authored by A. Colin Cameron and Pravin K. Trivedi, provides an out- standing introduction to microeconometrics and microeconometric research using SAS Stata. Cameron and Trivedi cover specialized topics often left out of microeconomet- proc glm data=ds; rics texts and basic introductions to Stata. They address each topic with an in-depth model y = x1 ... xk / noint; Stata example and demonstrate how to use Stata’s programming features to implement methods for which Stata does not have a specific command. run; Although interest in spatial regression models has surged Note: The noint option works with many model in recent years, a comprehensive, up-to-date text on statements. these approaches does not exist. Rounding out R the collection, Introduction to Spatial Econometrics (January 2009), presents a vari- mod1 < –lm(y ~ 0 + x1 + ... + xk, ety of regression methods used to analyze data=ds) spatial data samples that violate the tradi- or tional assumption of independence between observations. James LeSage and mod1 < –lm(y ~ x1 + ... + xk –1, R. Kelley Pace explore recent advances data=ds) in spatial econometric models—includ- ing some previously unpublished results. SPECIAL DISCOUNTS FOR THE STATISTICS COMMUNITY! Visit and get 15% off Save even more! the price of any CRC publication when you order Visit CRC at booth #313 online and enter promo code FMH33. and get discounts of up to 50%.