Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9290
Title: Evaluation of Biomarkers for Pharmacological Activity
Authors: ALONSO ABAD, Ariel 
MOLENBERGHS, Geert 
RENARD, Didier 
Darstein, Christelle
Issue Date: 2009
Publisher: TAYLOR & FRANCIS INC
Source: JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 19(2). p. 256-272
Abstract: In recent years the cost of drug development has increased the demands on efficiency in the selection of suitable drug candidates. Biomarkers for efficacy and safety could be a plausible strategy to improve this selection process. In the present work, we focus on the study and evaluation of different physiological variables as biomarkers for pharmacological activity. We proposed three different approaches using multivariate and univariate techniques. We note that even though one could argue that the multivariate procedure is more powerful than the other alternatives, the univariate methods also offer a great flexibility to answer interesting scientific questions. The three approaches were used to analyze a crossover study involving an opioid antagonist.
Notes: [Alonso, Ariel; Molenberghs, Geert] Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium. [Renard, Didier] Novartis Pharma AG, Exploratory Dev, Clin Informat Sci, Basel, Switzerland. [Darstein, Christelle] Lilly Corp Ctr, Lilly Serv SA, Program Phase Stat, Indianapolis, IN USA.
Keywords: Biomarkers; Crossover; Optimization; Surrogate marker;biomarkers; crossover; optimization; surrogate marker
Document URI: http://hdl.handle.net/1942/9290
ISSN: 1054-3406
e-ISSN: 1520-5711
DOI: 10.1080/10543400802622386
ISI #: 000263291400003
Category: A1
Type: Journal Contribution
Validations: ecoom 2010
Appears in Collections:Research publications

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