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Abstract Details

Activity Number: 233
Type: Topic Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Health Policy Statistics Section
Abstract - #304118
Title: Comparing Cumulative Incidence Functions Between Nonrandomized Groups
Author(s): Ludi Fan*+ and Douglas E Schaubel
Companies: University of Michigan and University of Michigan
Address: Department of Biostatistics, Ann Arbor, MI, 48109, United States
Keywords: Center effects ; competing risks ; counting process ; cumulative incidence function ; survival analysis

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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