Multiple Testing Problems in Pharmaceutical Statistics
Useful Statistical Approaches for Addressing Multiplicity IssuesIncludes practical examples from recent trials Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple c
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Produktdetails
Weitere Autoren: Tamhane, Ajit C. (Hrsg.) / Bretz, Frank (Hrsg.)
- ISBN: 978-1-58488-985-4
- EAN: 9781584889854
- Produktnummer: 32395749
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2009
- Seitenangabe: 320 S.
- Plattform: PDF
- Masse: 2'844 KB
Über den Autor
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.
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