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Sample Size Tables For Clinical Studies Second Edition


Sample Size Tables For Clinical Studies Second Edition
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Sample Size Tables For Clinical Studies Second Edition


Sample Size Tables For Clinical Studies Second Edition
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Author : David Machin
language : en
Publisher: Wiley-Blackwell
Release Date : 1997-12-12

Sample Size Tables For Clinical Studies Second Edition written by David Machin and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-12-12 with Medical categories.


This book provides statisticians and researchers with the statistical tools (equations, formulae and numerical tables) needed to design clinical studies and carry out accurate, reliable, and reproducible analysis of the data obtained. For this second edition, six entirely new topics have been added and many chapters have been considerably expanded. This edition also comes packaged with a free computer disk. The disk contains a software application designed to be used in conjunction with the text, which greatly simplifies the process of looking up tabulated, sample-size values.



Sample Sizes For Clinical Trials


Sample Sizes For Clinical Trials
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Author : Steven A. Julious
language : en
Publisher: CRC Press
Release Date : 2009-08-26

Sample Sizes For Clinical Trials written by Steven A. Julious and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-26 with Mathematics categories.


Drawing on various real-world applications, Sample Sizes for Clinical Trials takes readers through the process of calculating sample sizes for many types of clinical trials. It provides descriptions of the calculations with a practical emphasis.Focusing on normal, binary, ordinal, and survival data, the book explores a range of trials, including su



Methods And Applications Of Sample Size Calculation And Recalculation In Clinical Trials


Methods And Applications Of Sample Size Calculation And Recalculation In Clinical Trials
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Author : Meinhard Kieser
language : en
Publisher: Springer Nature
Release Date : 2020-11-19

Methods And Applications Of Sample Size Calculation And Recalculation In Clinical Trials written by Meinhard Kieser and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Mathematics categories.


This book provides an extensive overview of the principles and methods of sample size calculation and recalculation in clinical trials. Appropriate calculation of the required sample size is crucial for the success of clinical trials. At the same time, a sample size that is too small or too large is problematic due to ethical, scientific, and economic reasons. Therefore, state-of-the art methods are required when planning clinical trials. Part I describes a general framework for deriving sample size calculation procedures. This enables an understanding of the common principles underlying the numerous methods presented in the following chapters. Part II addresses the fixed sample size design, where the required sample size is determined in the planning stage and is not changed afterwards. It covers sample size calculation methods for superiority, non-inferiority, and equivalence trials, as well as comparisons between two and more than two groups. A wide range of further topics is discussed, including sample size calculation for multiple comparisons, safety assessment, and multi-regional trials. There is often some uncertainty about the assumptions to be made when calculating the sample size upfront. Part III presents methods that allow to modify the initially specified sample size based on new information that becomes available during the ongoing trial. Blinded sample size recalculation procedures for internal pilot study designs are considered, as well as methods for sample size reassessment in adaptive designs that use unblinded data from interim analyses. The application is illustrated using numerous clinical trial examples, and software code implementing the methods is provided. The book offers theoretical background and practical advice for biostatisticians and clinicians from the pharmaceutical industry and academia who are involved in clinical trials. Covering basic as well as more advanced and recently developed methods, it is suitable for beginners, experienced applied statisticians, and practitioners. To gain maximum benefit, readers should be familiar with introductory statistics. The content of this book has been successfully used for courses on the topic.



Sample Size Methodology


Sample Size Methodology
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Author : M. M. Desu
language : en
Publisher:
Release Date : 1990

Sample Size Methodology written by M. M. Desu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Mathematics categories.


One of the most important problems in designing an experiment or a survey is sample size determination and this book presents the currently available methodology. It includes both random sampling from standard probability distributions and from finite populations. Also discussed is sample size determination for estimating parameters in a Bayesian setting by considering the posterior distribution of the parameter and specifying the necessary requirements. The determination of the sample size is considered for ranking and selection problems as well as for the design of clinical trials. Appropriate techniques for attacking the general question of sample size determination in problems of estimation, tests of hypotheses, selection, and clinical trial design are all presented, and will help the reader in formulating an appropriate problem of sample size and in obtaining the solution. The book can be used as a text in a senior-level or a graduate course on sample size methodology. Annotated list of tables in appendixSupplemental problems at the end of book



Sample Size Determination And Power


Sample Size Determination And Power
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Author : Thomas P. Ryan
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-28

Sample Size Determination And Power written by Thomas P. Ryan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-28 with Medical categories.


A comprehensive approach to sample size determination and power with applications for a variety of fields Sample Size Determination and Power features a modern introduction to the applicability of sample size determination and provides a variety of discussions on broad topics including epidemiology, microarrays, survival analysis and reliability, design of experiments, regression, and confidence intervals. The book distinctively merges applications from numerous fields such as statistics, biostatistics, the health sciences, and engineering in order to provide a complete introduction to the general statistical use of sample size determination. Advanced topics including multivariate analysis, clinical trials, and quality improvement are addressed, and in addition, the book provides considerable guidance on available software for sample size determination. Written by a well-known author who has extensively class-tested the material, Sample Size Determination and Power: Highlights the applicability of sample size determination and provides extensive literature coverage Presents a modern, general approach to relevant software to guide sample size determination including CATD (computer-aided trial design) Addresses the use of sample size determination in grant proposals and provides up-to-date references for grant investigators An appealing reference book for scientific researchers in a variety of fields, such as statistics, biostatistics, the health sciences, mathematics, ecology, and geology, who use sampling and estimation methods in their work, Sample Size Determination and Power is also an ideal supplementary text for upper-level undergraduate and graduate-level courses in statistical sampling.



Statistical Tables For The Design Of Clinical Trials


Statistical Tables For The Design Of Clinical Trials
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Author : David Machin
language : en
Publisher: Wiley-Blackwell
Release Date : 1987-01-01

Statistical Tables For The Design Of Clinical Trials written by David Machin and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-01-01 with Clinical trials categories.




Statistical Power Analysis For The Behavioral Sciences


Statistical Power Analysis For The Behavioral Sciences
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Author : Jacob Cohen
language : en
Publisher: Routledge
Release Date : 2013-05-13

Statistical Power Analysis For The Behavioral Sciences written by Jacob Cohen and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-13 with Psychology categories.


Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.



Fundamentals Of Clinical Trials


Fundamentals Of Clinical Trials
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Author : Lawrence M. Friedman
language : en
Publisher: Springer Science & Business Media
Release Date : 1998

Fundamentals Of Clinical Trials written by Lawrence M. Friedman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Medical categories.


This classic reference, now updated with the newest applications and results, addresses the fundamentals of such trials based on sound scientific methodology, statistical principles, and years of accumulated experience by the three authors.



Statistics With Confidence


Statistics With Confidence
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Author : Douglas Altman
language : en
Publisher: John Wiley & Sons
Release Date : 2013-06-03

Statistics With Confidence written by Douglas Altman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-03 with Medical categories.


This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.



Small Sample Size Solutions


Small Sample Size Solutions
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Author : Rens van de Schoot
language : en
Publisher: Routledge
Release Date : 2020-02-13

Small Sample Size Solutions written by Rens van de Schoot and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-13 with Psychology categories.


Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.