Sample Sizes for Clinical Trials

Julious, Steven A.

ISBN 10: 1138587893 / ISBN 13: 9781138587892

Published by Chapman and Hall/CRC, 2023

About this Item

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Bibliographic Details

• Title: Sample Sizes for Clinical Trials
• Publisher: Chapman and Hall/CRC
• Publication Date: 2023
• Language: English
• ISBN 10: 1138587893
• ISBN 13: 9781138587892
• Binding: hardcover
• Edition: 2nd Edition
• Condition: Fine

About this title

Synopsis

Sample Sizes for Clinical Trials, Second Edition is a practical book that assists researchers in their estimation of the sample size for clinical trials. Throughout the book there are detailed worked examples to illustrate both how to do the calculations and how to present them to colleagues or in protocols. The book also highlights some of the pitfalls in calculations as well as the key steps that lead to the final sample size calculation.

Features:

• Comprehensive coverage of sample size calculations, including Normal, binary, ordinal, and survival outcome data
• Covers superiority, equivalence, non-inferiority, bioequivalence and precision objectives for both parallel group and crossover designs
• Highlights how trial objectives impact the study design with respect to both the derivation of sample formulae and the size of the study
• Motivated with examples of real-life clinical trials showing how the calculations can be applied
• New edition is extended with all chapters revised, some substantially, and four completely new chapters on multiplicity, cluster trials, pilot studies, and single arm trials

The book is primarily aimed at researchers and practitioners of clinical trials and biostatistics, and could be used to teach a course on sample size calculations. The importance of a sample size calculation when designing a clinical trial is highlighted in the book. It enables readers to quickly find an appropriate sample size formula, with an associated worked example, complemented by tables to assist in the calculations.

About the Author

Steven A. Julious is a Professor of Medical Statistics at the University of Sheffield. His research interests include clinical trials, clinical trial design, early phase trials, and the development of new methodologies related to clinical trials.