Multiple Testing Problems in Pharmaceutical Statistics (2009) Pdf Free Download

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Methods for addressing multiplicity issues have attracted much attention in the statistical literature over the past twenty years. Recent developments in this area include new approaches to defining false-positive error rates and new classes of multiple comparison procedures. The books by Hochberg and Tamhane (1987), Westfall and Young (1993) and Hsu (1996) introduce general statistical theory of multiple comparisons. The main goal of this book is to review and summarize the fast growing area of multiple comparison research with emphasis on pharmaceutical applications.

The book consists of seven chapters that describe important multiplicity problems encountered in pre-clinical and clinical trial settings. Each chapter provides a detailed overview of methodological issues in multiple testing with emphasis on recently developed approaches not covered in other books. Case studies based on pre-clinical experiments and clinical trials are used to help the reader quickly learn popular multiple testing methods and apply them to real-life problems. The book offers advice from subject matter experts and reviews relevant regulatory guidelines. It also provides useful information for practitioners by emphasizing technical details and implementation of the statistical methods using popular statistical software, including SAS and R.

This book is aimed mainly at biostatisticians involved in pre-clinical and clinical trial research. However, the individual chapters include high-level introductory material to make them accessible to a broad audience of pharmaceutical researchers, including drug discovery scientists, medical scientists and regulatory scientists.

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