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Abstract Details
Activity Number:
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233
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract - #304118 |
Title:
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Comparing Cumulative Incidence Functions Between Nonrandomized Groups
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Author(s):
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Ludi Fan*+ and Douglas E Schaubel
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Companies:
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University of Michigan and University of Michigan
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Address:
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Department of Biostatistics, Ann Arbor, MI, 48109, United States
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Keywords:
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Center effects ;
competing risks ;
counting process ;
cumulative incidence function ;
survival analysis
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Abstract:
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It is often of interest to compare outcomes between subgroups of subjects. In the presence of observational data, group is typically not randomized, such that adjustment must be made for differences in covariate distributions across groups. We propose a measure to contrast group-specific cumulative incidence functions (CIF). One such application involves evaluating organ procurement organizations (OPO) with respect to the cumulative incidence of kidney transplantation; the competing risks being (i) death on the wait list and (ii) removal from the wait-list. The proposed method assumes proportional cause-specific hazards, which are estimated through Cox models stratified on group. The effect measure compares the average CIF of an OPO to the average CIF that would have resulted if that particular OPO performed at the national average. Large sample properties are derived using martingale properties and influence functions and the performance of the estimator is evaluated using simulations. The proposed method is applied to data obtained from the Scientific Registry of Transplant Recipients.
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