En
English

Sample Size Calculations In Clinical Research Hardcover 3

Recommend
0 %
Authors Estimates
0
1
0
2
0
3
0
4
0
5
Sort by
Rating
Date
Specifications
Country of Origin
India
Author 1
Shein-Chung Chow
Book Description
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 randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation.
ISBN-10
1138740985
ISBN-13
9781138740983
Language
English
Publisher
Taylor & Francis Ltd
Publication Date
30-Aug-17
Number of Pages
510
Author 2
Jun Shao
Author 3
Hansheng Wang
Author 4
Yulia Lokhnygina
Edition Number
3
Editorial Review
... 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. The book is nicely set out with an introduction to the basic idea of each topic, followed by various formulae that lead to power calculations . . . In all, I consider this book to be well written, and it touches on quite a number of more recent topics in sample size determination. Consequently, it will be a useful addition to clinical statisticians as a point of reference to solve more complex issues in power calculations during the design of a clinical trial. - Steve Su, International Society for Clinical Biostatistics