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Abstract Details
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Activity Number:
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103
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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| Abstract - #303622 |
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Title:
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Relaxing the Ignorability Assumption Using Future Potential Outcomes
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Author(s):
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Wei Yang*+ and Marshall Joffe
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Companies:
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University of Pennsylvania and University of Pennsylvania
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Address:
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423 Guardian Dr, 629 Blockley, Philadelphia, PA, 19104, United States
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Keywords:
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Ignorability assumption ;
future potential outcomes ;
optimal estimating equation ;
causal inference ;
USRDS
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Abstract:
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The assumption of ignorable treatment assignment is often made when analyzing data from observational studies. We relax the ignorability assumption by conditioning on the future potential outcomes. We assume that the treatment assignment is ignorable after conditioning on the potential outcomes at future time points in addition to pre-treatment variables. We derive the optimal estimating equation and compare the efficiency gain with simple-form estimating equations through simulations. We apply the method to estimate the effect of erythropoietin on hematocrit level in dialysis patients using United States Renal Data System (USRDS) data.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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