Multiple testing problems in pharmaceutical statistics

Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, this volume explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. It describes important multiplicity...

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Hauptverfasser: Dmitrienko, Alex, Tamhane, Ajit C, Bretz, Frank
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creator Dmitrienko, Alex
Tamhane, Ajit C
Bretz, Frank
description Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, this volume explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. It describes important multiplicity problems encountered in pre-clinical and clinical trial settings. The book includes numerous case studies from actual pre-clinical experiments and clinical trials to help readers quickly learn common multiple testing methods and apply them to real-life problems. It also reviews relevant regulatory guidelines and implements the methods using SAS and R. The data sets and code are available on the book's website.
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subjects Drugs
Statistical methods
Testing
title Multiple testing problems in pharmaceutical statistics
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