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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13629

Title: GENOMIC BIOMARKERS FOR A BINARY CLINICAL OUTCOME IN EARLY DRUG DEVELOPMENT MICROARRAY EXPERIMENTS
Authors: VAN SANDEN, Suzy
SHKEDY, Ziv
BURZYKOWSKI, Tomasz
Gohlmann, Hinrich W. H.
TALLOEN, Willem
BIJNENS, Luc
Issue Date: 2012
Publisher: TAYLOR & FRANCIS INC
Citation: JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 22 (1), p. 72-92
Abstract: In this article, we discuss methods to select three different types of genes (treatment related, response related, or both) and investigate whether they can serve as biomarkers for a binary outcome variable. We consider an extension of the joint model introduced by Lin et al. (2010) and Tilahun et al. (2010) for a continuous response. As the model has certain drawbacks in a binary setting, we also present a way to use classical selection methods to identify subgroups of genes, which are treatment and/or response related. We evaluate their potential to serve as biomarkers by applying DLDA to predict the response level.
Notes: [Van Sanden, Suzy; Shkedy, Ziv; Burzykowski, Tomasz] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Shkedy, Ziv; Burzykowski, Tomasz] Katholieke Univ Leuven, Louvain, Belgium. [Van Sanden, Suzy; Gohlmann, Hinrich W. H.; Talloen, Willem; Bijnens, Luc] Johnson & Johnson, PRD, Beerse, Belgium. svsande1@its.jnj.com
URI: http://hdl.handle.net/1942/13629
DOI: 10.1080/10543406.2010.504906
ISI #: 000302064800006
ISSN: 1054-3406
Category: A1
Type: Journal Contribution
Validation: ecoom, 2013
Appears in Collections: Research publications

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