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Activity Number:
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471
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #309816 |
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Title:
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Preference-Based Analysis for Estimating Treatment Efficacy Among Compliant Patients in a Randomized Clinical Trial
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Author(s):
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Afisi S. Ismaila*+ and Stephen Walter
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Companies:
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McMaster University and McMaster University
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Address:
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Clinical Epidemiology and Biostatistics, Hamilton, ON, L8S 4L8, Canada
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Keywords:
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Randomized controlled trials ; compliance ; efficacy ; treatment preference
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Abstract:
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When there are departures from assigned treatments in a randomized controlled trial (RCT), researchers are faced with the problem of estimating treatment benefits in compliant patients while respecting randomization. Traditional approaches include intention-to-treat (ITT), per protocol (PP) and as-treated (AT) analyses. We present an extension of the preference-based (PB) analysis proposed by Walter et al. (JCE 2006) for estimating the magnitude of a treatment effect among compliers by classifying patients into 5 preference groups. Specifically, we will discuss the statistical properties of the estimators for binary and continuous outcomes. We will also compare the PB analysis with traditional analyses in the estimation of treatment efficacy in compliant patients.
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