This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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360
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #307503 |
Title:
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Bounds on Controlled Direct Effects Under Monotonic Assumptions About Mediators and Confounders
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Author(s):
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Yasutaka Chiba*+
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Companies:
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Kinki University School of Medicine
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Address:
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377-2, Ohno-higashi, Osaka, 589-8511, Japan
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Keywords:
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causal inference ;
potential outcome ;
randomized trial
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Abstract:
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Adjusting for intermediate variables is a common analytic strategy for estimating a direct effect. Even if the total effect is unconfounded, the direct effect is not identified when unmeasured variables affect the intermediate and outcome variables. Therefore, Cai et al. (Biometrics 2008; 64:695-701) presented bounds on controlled direct effects via linear programming. They applied a monotonic assumption about treatment and intermediate variables and a no-interaction assumption to derive narrower bounds. We improve their bounds without using linear programming and hence derive a bound under a monotonic assumption about an intermediate variable only. To improve the bounds, we further introduce a monotonic assumption about confounders presented by VanderWeele (Biometrics 2008; 64:702-706). While Cai et al. (2008) assumed that an outcome is a binary variable, we do not make that assumption.
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Authors who are presenting talks have a * after their name.
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