Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

"""…an excellent resource for both statisticians and practitioners undertaking prospective studies in human trials."" —International Statistical Review "" . . . this is a clearly written and sequentially well-organized book. One may find it easy to read and comprehend the various conceptual and methodological issues. To facilitate better understanding, each of the covered topic deals with illustration. I fully agree with the claim of the authors that this book may serve as a useful resource for biostatisticians, clinical investigators, epidemiologists, and social scientists whose research involves randomized trials with correlated outcomes usually classified into two types: clustered or longitudinal."" —Sada Nand Dwivedi, International Society for Clinical Biostatistics ""The book opens with an excellent summary and overview of conventional sample size analysis, including precision and power analysis. . . The book moves on to sample size calucations for clustered data."" —The American Statistician, 2016 ""This book aims to be a useful reference for those of us who are frequently asked ‘how many people will I need to recruit?’ This text provides a useful reference for those who wish to calculate the sample size for a clustered design . . . clear and accessible examples and some thoughtful reminders of key considerations."" —Beth Stuart, International Society for Clinical Biostatistics ""…an excellent resource for both statisticians and practitioners undertaking prospective studies in human trials."" —International Statistical Review "" . . . this is a clearly written and sequentially well-organized book. One may find it easy to read and comprehend the various conceptual and methodological issues. To facilitate better understanding, each of the covered topic deals with illustration. I fully agree with the claim of the authors that this book may serve as a useful resource for biostatisticians, clinical investigators, epidemiologists, and social scientists whose research involves randomized trials with correlated outcomes usually classified into two types: clustered or longitudinal."" —Sada Nand Dwivedi, International Society for Clinical Biostatistics ""The book opens with an excellent summary and overview of conventional sample size analysis, including precision and power analysis. . . The book moves on to sample size calucations for clustered data."" —The American Statistician, 2016 ""This book aims to be a useful reference for those of us who are frequently asked ‘how many people will I need to recruit?’ This text provides a useful reference for those who wish to calculate the sample size for a clustered design . . . clear and accessible examples and some thoughtful reminders of key considerations."" —Beth Stuart, International Society for Clinical Biostatistics ""With the huge literature in technical reports, journal articles, blogs, multiple sample size and power packages, and specially written procedures in SAS, R, STATA, MatLab, and other statistical software, one might wonder why we need another book on sample size calculations. The answers will be evident upon reading this text. I write from the point of view of a biostatistician situated in a medical school biostatistics department, scientific reviewer, and consultant. . . . This book offers unified notation, intuitively clear power, and sample size formulas in closed form, and well written explanations in each chapter, making the book easy to use. . ."" —Joel Michalek, Biometrics March 2018"