This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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383
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Type:
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Invited
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Date/Time:
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Tuesday, August 3, 2010 : 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 - #306212 |
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Title:
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Using IV with Subjective Assumptions to Construct Treatment Effect Bounds on Continuous Outcomes in Observational Studies
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Author(s):
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Joseph W. Hogan*+ and Tao Liu
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Companies:
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Brown University and Brown University
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Address:
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Biostatistics Section, Program in Public Health, Providence, RI, 02912,
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Keywords:
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inverse probability weighting ;
unmeasured confounding ;
HIV/AIDS ;
sensitivity analysis
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Abstract:
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For settings with a binary treatment and binary outcome, instrumental variables can be used to construct bounds for a causal treatment effect. With continuous outcomes, meaningful bounds are more difficult to obtain because the domain of the outcome is typically unrestricted. We combine instrumental variables and subjective assumptions to construct meaningful bounds on the causal effect of antiviral therapy on CD4 count in an observational cohort study of women with HIV infection. The subjective assumptions are encoded in terms of sensitivity parameters that cannot be identified by observed data.
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