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Abstract Details
Activity Number:
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214
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Type:
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Invited
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Date/Time:
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Monday, August 1, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #300298 |
Title:
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Graphical Identification Condition of Direct and Indirect Effects with Misclassified Intermediate Endpoints
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Author(s):
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Manabu Kuroki*+
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Companies:
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Osaka University
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Address:
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, , ,
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Keywords:
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Natural direct effect ;
Causal diagram ;
Controlled direct effect
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Abstract:
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This presentation deals with the problem of evaluating direct and indirect effects of a treatment on a response in randomized clinical trials where some intermediate endpoints exist but are misclassified. We propose a graphical identification condition for direct and indirect effects, which is based on the observation of several proxy variables of the intermediate endpoints. The result provides a feasible approach to evaluate direct and indirect effects in randomized clinical trials when unmeasured intermediate endpoints exist. It also provides guidance for how to choose proxy variables when designing a study protocol.
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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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