02105cam a22001818i 4500020001800000041000800018082002100026100003200047245010000079250002000179260003000199300001600229504005100245520154600296546001301842650004201855650002601897  a9781032454269  aeng00a615.50724bJUL-S1 aJulious, Steven A.eauthor.10aSample sizes for clinical trials /cSteven A. Julious, University of Sheffield, United Kingdom.  aSecond edition.  aBoca Raton :bCRC,c2023.  axxiv, 396p.  aIncludes bibliographical references and index.  a"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, and examples of real-life clinical trials showing how the calculations can be applied. This 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"--  aEnglish. 0aClinical trialsxStatistical methods. 0aSampling (Statistics)