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Frontiers of Medicine >> 2013, Volume 7, Issue 1 doi: 10.1007/s11684-013-0245-7

Recent development on statistical methods for personalized medicine discovery

1. Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, 600 Highland Ave. Madison, WI 53792, USA;

2. Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA

Available online: 2013-03-05

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Abstract

It is well documented that patients can show significant heterogeneous responses to treatments so the best treatment strategies may require adaptation over individuals and time. Recently, a number of new statistical methods have been developed to tackle the important problem of estimating personalized treatment rules using single-stage or multiple-stage clinical data. In this paper, we provide an overview of these methods and list a number of challenges.

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