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Activity Number:
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504
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #304513 |
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Title:
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Exact Inference within Principal Strata
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Author(s):
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Michael Hudgens*+
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Companies:
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The University of North Carolina at Chapel Hill
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Address:
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Department of Biostatistics, Chapel Hill, NC, ,
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Keywords:
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Abstract:
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To date, most proposed methods for causal inference within principal strata (Frangakis and Rubin, Biometrics 2002) rely on strong prior assumptions and/or large-sample theory. In this talk we will discuss methods for inference within principal strata that require minimal assumptions and can be applied in small sample size settings. While this work is motivated by analysis of vaccine effects on post-infection endpoints, the methods are sufficiently general to have application in other areas where principal stratification is employed.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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