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Shein-Chung Chow,Jun Shao,Hansheng Wang,Yuliya Lokhnygina

Sample Size Calculations in Clinical Research

Sample Size Calculations in Clinical Research

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Sample Size Calculations in Clinical Research, Third Edition is a comprehensive book that provides statistical procedures for performing sample size calculations during clinical research and development. It covers one-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes, as well as less familiar topics. The book is updated with new sections and chapters on emerging topics and includes real-world examples from various therapeutic areas.

Format: Paperback / softback
Length: 510 pages
Publication date: 30 September 2020
Publisher: Taylor & Francis Ltd


This comprehensive book offers a valuable resource for researchers designing studies, providing formulae for computing sample size in a wide range of settings. It covers one-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Additionally, the book addresses less familiar topics such as sample size calculations in longitudinal studies, cluster-randomized trials, and mixed models.

The book is well organized, with clear and concise explanations of statistical concepts and practical applications. It includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation. The text is accompanied by numerous real-world examples from various therapeutic areas, making it easier for readers to apply the formulae and procedures to their own research.

One of the notable features of this book is its emphasis on comparing the relative merits and disadvantages of different statistical methods for sample size calculations. The authors provide a comprehensive review of statistical methods, including power analysis, non-inferiority testing, and Bayesian approaches, and help readers choose the most appropriate method for their specific research question.

Another strength of the book is its practical approach. The authors provide step-by-step instructions for performing sample size calculations, including formulas and examples for different scenarios. They also address common challenges and considerations that researchers may face during the sample size calculation process, such as sample size estimation for rare diseases, effect modification, and multi-stage designs.

The third edition of Sample Size Calculations in Clinical Research has been extensively updated to reflect the latest developments in the field. It includes five new chapters on emerging topics such as sample size calculations in genetic studies, network meta-analysis, and Bayesian hierarchical modeling. The book also includes many new sections that cover recent advances in statistical methodologies, such as mixed models, generalized linear models, and survival analysis.

In conclusion, Sample Size Calculations in Clinical Research, Third Edition is a valuable resource for researchers, practitioners, and students in the field of clinical research. Its comprehensive coverage of sample size calculations, practical approach, and up-to-date information make it an essential tool for designing and analyzing clinical studies. Whether you are a novice or an experienced researcher, this book will help you perform accurate and efficient sample size calculations to ensure the validity and reliability of your research findings.

Weight: 932g
Dimension: 178 x 253 x 33 (mm)
ISBN-13: 9780367657765
Edition number: 3 New edition

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