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Abstract Details

Activity Number: 594
Type: Invited
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Health Policy Statistics Section
Abstract - #303686
Title: Individualized Comparative Effectiveness Mental Health Research: Estimating Treatment Effects Accounting for Patient Preferences
Author(s): Zhehui Luo*+ and Qiaoling Chen and Carlos Weiss and Joseph C Gardiner
Companies: Michigan State University and Michigan State University and Michigan State University and Michigan State University
Address: Department of Epidemiology and Biostatistics, East Lansing, MI, 48824,
Keywords: heterogeneous treatment effect ; mental health statistics ; comparative effectiveness ; patient centered care

The ultimate goal of comparative effectiveness research (CER) is to develop and disseminate evidence-based information about which interventions are most effective for which patients under what circumstances. To achieve this goal it is crucial that researchers in methodology development find appropriate methods for detecting the presence and sources of heterogeneity in treatment effect (HTE). In mental health research, one important source of heterogeneity is a patient's treatment preference. We present a causal model framework that incorporates such preferences and examine the implication for estimating and presenting treatment effects in an adaptive randomized controlled trial.

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