This document discusses different types of study designs used in nutrition research and their relative strengths and limitations. It covers randomized controlled trials, systematic reviews, meta-analyses, and various types of observational studies including cross-sectional, case-control, and cohort studies. It emphasizes that randomized controlled trials are considered the gold standard but that many nutrition questions cannot be answered through these designs. It also discusses important concepts like confounding, biases, reporting guidelines, and how to assess the quality and strengths of different nutrition studies.
❤[PDF]✔download⚡ Group Sequential Methods with Applications to Clinical Trial...flatteuseasbyuuy
Group sequential methods answer the needs of clinical trial monitoring committees who must assess the data available at an interim analysis. These interim results may provide grounds for terminating the studyeffectively reducing costsor may benefit the general patient population by allowing early dissemination of its findings. Group sequential methods provide a means to balance the ethical and financial advantages of stopping a study early against the risk of an incorrect conclusion.Group Sequential Methods with Applications to Clinical Trials describes group sequential stopping rules designed to reduce average study length and control Type I and II error probabilities. The authors present onesided and twosided tests introduce several families of group sequential tests and explain how to choose the most appropriate test and interim analysis schedule. Their topics include placebocontrolle
HEALTHCARE RESEARCH METHODS: Secondary and tertiary StudiesDr. Khaled OUANES
Secondary analyses are based on the use of pre-existing data sets and usually the researcher conducting the statistical analysis has not had any contact with the participants whose data are being examined.
A systematic review is, on the other hand, the thorough compilation and summary of all publications relevant to a particular research topic.
Dr Yen-Fu Chen's presentation on publication bias in service delivery research for the CLAHRC WM Scientific Advisory Group, 10th June 2015, Birmingham, UK
❤[PDF]✔download⚡ Group Sequential Methods with Applications to Clinical Trial...flatteuseasbyuuy
Group sequential methods answer the needs of clinical trial monitoring committees who must assess the data available at an interim analysis. These interim results may provide grounds for terminating the studyeffectively reducing costsor may benefit the general patient population by allowing early dissemination of its findings. Group sequential methods provide a means to balance the ethical and financial advantages of stopping a study early against the risk of an incorrect conclusion.Group Sequential Methods with Applications to Clinical Trials describes group sequential stopping rules designed to reduce average study length and control Type I and II error probabilities. The authors present onesided and twosided tests introduce several families of group sequential tests and explain how to choose the most appropriate test and interim analysis schedule. Their topics include placebocontrolle
HEALTHCARE RESEARCH METHODS: Secondary and tertiary StudiesDr. Khaled OUANES
Secondary analyses are based on the use of pre-existing data sets and usually the researcher conducting the statistical analysis has not had any contact with the participants whose data are being examined.
A systematic review is, on the other hand, the thorough compilation and summary of all publications relevant to a particular research topic.
Dr Yen-Fu Chen's presentation on publication bias in service delivery research for the CLAHRC WM Scientific Advisory Group, 10th June 2015, Birmingham, UK
Association between delayed initiation of adjuvant CMF or anthracycline-based...Enrique Moreno Gonzalez
Adjuvant chemotherapy (AC) improves survival among patients with operable breast cancer. However, the effect of delay in AC initiation on survival is unclear. We performed a systematic review and meta-analysis to determine the relationship between time to AC and
survival outcomes.
"Hierarchies of Evidence" is an important but problematic concept for medical professionals to understand as it underpins their capacity to be effective practitioners and researchers.
evidence based practice is a important tool in clinical practice.everything we do in our life can also correlated to evidence based practice. PICO is used to frame a answerable question
Association between delayed initiation of adjuvant CMF or anthracycline-based...Enrique Moreno Gonzalez
Adjuvant chemotherapy (AC) improves survival among patients with operable breast cancer. However, the effect of delay in AC initiation on survival is unclear. We performed a systematic review and meta-analysis to determine the relationship between time to AC and
survival outcomes.
"Hierarchies of Evidence" is an important but problematic concept for medical professionals to understand as it underpins their capacity to be effective practitioners and researchers.
evidence based practice is a important tool in clinical practice.everything we do in our life can also correlated to evidence based practice. PICO is used to frame a answerable question
How to scientifically conduct a clinical professional research trial? In the current era of Collaborate or parish, we need to keep this design in our mind.
Enjoy
@copyLeft
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
3. Animal studies and expert opinion
Considered the lowest level of evidence
Animal studies provide mechanistic data but may not apply to humans
Expert opinion can be biased unless based on higher levels of
evidence, i.e. systematic reviews or meta-analyses
4. Observational studies
Studies where a population sample or groups are observed, but there is
no intervention
Includes cross-sectional, case-control, and cohort studies
Subject to confounding
However, may be the most appropriate study design for many studies
involving diet and nutrition
Important for study design to address confounders
Selection of representative population samples
Statistical adjustment for confounders
5. Confounding
When the dependent variable (diet or nutrient) is associated with another
confounding variable than can affect the outcome variable (e.g.
cardiovascular disease risk, cancer risk etc.)
Smoking
Alcohol
Socioeconomic
status
BMI
Age
Sex
6. Cross-sectional studies
Data is collected from a sample of a population group at a single point
in time
Small cross-sectional studies determining associations
Can be used to determine prevalence in populations
Includes data collected from national surveys
NANS - National Adult Nutrition Survey, Ireland 2008-10
NDNS - National Diet and Nutrition Survey, UK rolling survey
NHANES - National Health and Nutrition Examination Survey, US rolling
survey
8. Case-control studies
Typically reserved for studies involving diseases or outcomes that are
very rare
Control participants are selected from the general population and
matched to cases through age, sex, and other potentially confounding
variables
Retrospective analysis of exposure variable
Odds ratio is calculated to determine disease risk
Odds ratio is an estimate of relative risk when the total population is
unknown
10. Cohort studies
Prospective - take a group and define the exposure then monitor the
disease/outcome over time
Prospective cohort studies may last decades
Retrospective - take a group and define by disease/outcome and
retrospectively assess the exposure (i.e. look back in time)
Retrospective cohort studies are subject to poor recall and recall bias
Confounding variables require adjustment in statistical analysis
11. Cohort studies
EPIC
The European Prospective Investigation into Cancer and Nutrition (EPIC) is a
prospective cohort with more than 521 000 study participants enrolled from
23 centres in 10 western European countries.
Nurses' Health Study
Starting with the original Nurses’ Health Study in 1976, the studies are now in
their third generation with Nurses’ Health Study 3 (which is still enrolling
male and female nurses) and count more than 275,000 participants.
12. Randomised-controlled trials (RCT)
Considered the gold-standard research study design
Chances of bias are reduced because any confounding variables
should be randomly distributed in both the treatment and placebo
groups
Many nutritional studies cannot be answered by RCT design studies
What are some reasons that nutritional studies cannot be
conducted using RCT designs?
13. Meta-analyses
Statistical analysis of data from multiple studies
Help to identify heterogeneity in results (i.e. when conflicting results
are reported by different studies)
Increase sample size and therefore statistical power to detect
associations
Give more precise estimates of an effect
15. Systematicreviews
Review of scientific literature that is carried out in a specific and
methodical way
Narrow research question
Search strategy is defined, systematic, and often performed in duplicate
Methods and specific outcomes are defined
Involves some form of quality assessment of studies or sensitivity analysis
of exclusion of potentially biased reports
Results presented categorically by study type/characteristics
Conclusion is evidence-based
17. Systematicreviews
Researchers conducting systematic reviews use explicit, systematic
methods that are selected with a view aimed at minimizing bias, to
produce more reliable findings to inform decision-making.
Cochrane Reviews are updated to reflect the findings of new evidence
when it becomes available
https://www.cochranelibrary.com/
18. Reporting guidelines for studies
www.equator-network.org
STROBE-nut
PRISMACONSORTSTROBE
A collection of reporting guidelines for studies of different designs
Aim to improve the reliability and value of published health research literature
Promoting transparent and accurate reporting and wider use of robust reporting
guidelines
19. Reporting guidelines for studies
STROBE-nut
PRISMA
CONSORT
STROBE
Strengthening The Reporting of OBservational Studies in Epidemiology – nutritional
epidemiology
CONsolidated Standards Of Reporting Trials
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
20. Assessing the quality of studies
Is the study sample representative of the population of interest?
What are the eligibility criteria?
What is the sample size?
Is the calculation of sample size explained in the methods?
What measures have been taken to address potential sources of bias?
In the methods? In the discussion?
Is bias addressed in the methods for dietary assessment?
Is heterogeneity addressed?
21. Canyouthinkofimportantconfoundingvariablesthathaven'tbeenaddressed?
Does the information within the introduction and
discussion reflect the scientific literature?
Are the exposure and outcome variables well defined?
What are the sources of funding?
Is information included on non-respondents and dropouts from the study?
Assessing the quality of studies