Abstract Details
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Activity Number:
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416
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 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 - #308325 |
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Title:
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Structural Nested Mean Model for Clustered Outcomes
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Author(s):
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Jiwei He*+ and Marshall M. Joffe
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Companies:
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University of Pennsylvania and University of Pennsylvania
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Keywords:
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causal inference ;
clustered outcomes ;
optimal estimating equation
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Abstract:
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Structural nested models (SNMs) are useful in dealing with confounding by variables affected by treatment. Two types of SNMs are structural nested mean models (SNMMs) and structural nested distribution models (SNDMs). We extend SNMMs to clustered observations. We consider how to formulate models with both cluster- and individual-level treatments, and show how to derive semiparametric estimators of parameters in those models. The properties of parameter estimators are evaluated through simulations. We use a dataset in ophthalmology to illustrate our method.
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Authors who are presenting talks have a * after their name.
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