Multiple Testing Problems in Pharmaceutical Statistics
Explains how to solve important problems in multiple testing encountered in drug discovery, pre-clinical, and clinical trial applications. This book presents relevant statistical methodology; illustrates the methodology using real-life examples from drug discovery experiments; and provides software code for solving the problems.
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Produktdetails
Weitere Autoren: Tamhane, Ajit C. (Hrsg.) / Bretz, Frank (Hrsg.)
- ISBN: 978-1-58488-984-7
- EAN: 9781584889847
- Produktnummer: 23213505
- Verlag: Taylor and Francis
- Sprache: Englisch
- Erscheinungsjahr: 2009
- Seitenangabe: 320 S.
- Masse: H23.4 cm x B15.6 cm 750 g
- Abbildungen: Farb., s/w. Abb.
- Gewicht: 750
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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