Abstract Details
Activity Number:
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455
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Type:
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Invited
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Date/Time:
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Wednesday, August 7, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract - #307010 |
Title:
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Causal Inference in Epidemiology Using Bayesian Methods: The Example of Meta-Analysis of Statins and Fracture Risk
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Author(s):
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Lawrence C. McCandless*+
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Companies:
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Simon Fraser University
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Keywords:
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Bayesian analysis ;
causal inference ;
meta-analysis
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Abstract:
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Numerous epidemiologic studies indicate that statin use reduces the risk of fractures in the elderly. However, a causal relationship is not supported by data from randomized trials. Healthy user bias is implicated as a likely culprit for the controversy. It is a type of unmeasured confounding that results from failure to measure and adjust for patient-level tendencies to engage in healthy behaviours (e.g. use of alcohol and tobacco). In this talk, I will summarize the evidence supporting an association between statins and fractures, and then explore sensitivity to bias from confounding using Bayesian techniques. I will draw parallels with bias modelling in observational studies, and discuss prior elicitation, nonidentifiability and Bayesian computation.
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Authors who are presenting talks have a * after their name.
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