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<p>Praise for the Second Edition:</p><p>"... 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." -<b><i>Biometrics</i></b></p><p>"<i>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 ...</i>" – <b><i>Journal of the Royal Statistical Society</i></b></p><p><b>Sample Size Calculations in Clinical Research, Third Edition</b> 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.</p><p>Features:</p><ul> <p> </p> <li>Compares the relative merits and disadvantages of statistical methods for sample size calculations</li> <p> </p> <li>Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages</li> <p> </p> <li>Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health</li> <p> </p> <li>Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches</li> </ul><p>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 Pois