Sample Size Calculations in Clinical Research

by Shein-Chung Chow, Jun Shao, Hansheng Wang & others
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eBook

Publisher: CRC Press

Series: Chapman & Hall/CRC Biostatistics Series

Publication Date: August 15, 2017

ISBN: 9781351727112

Binding: Kobo eBook

Availability: eBook

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Praise for the Second Edition:

"… this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics

"This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered …" – Journal of the Royal Statistical Society

Sample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation.

Features:

  • Compares the relative merits and disadvantages of statistical methods for sample size calculations

    Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages

    Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health

    Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches

This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster ...