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 | Source: | 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 | Keywords: | Pharmacology & Pharmacy; Statistics & Probability; Biomarkers; BW ratio; Categorical data; Joint Modeling; Microarrays;Biomarkers; BW ratio; Categorical data; Joint modeling; Microarrays | Document URI: | http://hdl.handle.net/1942/13629 | ISSN: | 1054-3406 | e-ISSN: | 1520-5711 | DOI: | 10.1080/10543406.2010.504906 | ISI #: | 000302064800006 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2013 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Biomarker article final version.pdf | Peer-reviewed author version | 612.24 kB | Adobe PDF | View/Open |
ContentServer.pdf Restricted Access | Published version | 665.24 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.