Journal
STATISTICS IN BIOPHARMACEUTICAL RESEARCH
Volume 3, Issue 4, Pages 569-576Publisher
AMER STATISTICAL ASSOC
DOI: 10.1198/sbr.2011.09026
Keywords
Personalized medicine; Predictive; Prognostic; Retrospective; Subgroup; Surrogate
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In the current era of personalized medicine, there has been an increased interest in biomarkers as a classifier for patient risk cohorts as well as a predictor of success for a therapeutic intervention. They hold promise to better screen patients who may or may not benefit from a particular treatment, but may experience toxicity inherent in oncology treatments. However, in general the classifier biomarkers are identified in post-hoc subgroup analyses. In this article we discuss the challenges in ascertaining true positive results from such post-hoc analyses.
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