Sample Size Calculations in Clinical Research
Shein-Chung Chow, Jun Shao, Hansheng Wang, Yuliya Lokhnygina
- 510 páginas
- English
- ePUB (apto para móviles)
- Disponible en iOS y Android
Sample Size Calculations in Clinical Research
Shein-Chung Chow, Jun Shao, Hansheng Wang, Yuliya Lokhnygina
Información del libro
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:
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- Compares the relative merits and disadvantages of statistical methods for sample size calculations
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- Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages
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- Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women's health
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- 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.