Abstract Details
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Activity Number:
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620
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Type:
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Invited
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Date/Time:
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Thursday, August 8, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #307252 |
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Title:
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Marginal Structural Competing Risk Models: Analysis of the Canadian HIV/HCV Coinfection Cohort Data
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Author(s):
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David A Stephens*+
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Companies:
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McGill University
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Keywords:
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Marginal Structural Models ;
Competing Risks ;
Inverse Probability Weighting
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Abstract:
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In this talk I will illustrate the extension of discrete time marginal structural survival models commonly used for adjusting for time-varying confounding to the case of multiple competing causes of death. The motivation for this extension is the Canadian HIV/HCV coinfection cohort (CCC), where several time-varying factors (intravenous drug use, adherence to antiretroviral therapy etc.) have an impact on the development of several different life-threatening conditions (liver failure, overdose etc). I will discuss the development of the model, and related estimation procedures, as well as the limitations of the CCC data for inferring causal mechanisms.
This is joint work with Erica Moodie and Marina Klein (McGill University, Montreal)
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Authors who are presenting talks have a * after their name.
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