Multiple Testing Problems in Pharmaceutical Statistics (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt
Alex Dmitrienko is a research advisor in Global Statistical Sciences at Eli Lilly and Company in Indianapolis, Indiana.Ajit C. Tamhane is senior associate dean and professor of industrial engineering and management sciences in the McCormick School of Engineering and Applied Science at Northwestern University in Illinois.
Frank Bretz is a biometrical fellow of clinical information sciences at Novartis Pharma AG in Switzerland. He is also an adjunct professor at Hannover Medical School in Germany.
Bibliographische Angaben
- 2009, 1. Auflage, 320 Seiten, Englisch
- Herausgegeben: Alex Dmitrienko, Ajit C. Tamhane, Frank Bretz
- Verlag: Taylor & Francis
- ISBN-10: 1584889853
- ISBN-13: 9781584889854
- Erscheinungsdatum: 08.12.2009
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- Grösse: 2.71 MB
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Sprache:
Englisch
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