JSM 2011 Online Program

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Abstract Details

Activity Number: 214
Type: Invited
Date/Time: Monday, August 1, 2011 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300298
Title: Graphical Identification Condition of Direct and Indirect Effects with Misclassified Intermediate Endpoints
Author(s): Manabu Kuroki*+
Companies: Osaka University
Address: , , ,
Keywords: Natural direct effect ; Causal diagram ; Controlled direct effect
Abstract:

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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