|
Activity Number:
|
323
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 4, 2009 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #305006 |
|
Title:
|
Estimating Differences in Restricted Mean Lifetime Using Observational Data in the Presence of Dependent Censoring
|
|
Author(s):
|
Min Zhang*+ and Douglas E. Schaubel
|
|
Companies:
|
University of Michigan and University of Michigan
|
|
Address:
|
Department of Biostatistics, Ann Arbor, MI, 48109-2029,
|
|
Keywords:
|
counterfactual ; cumulative treatment effect ; inverse weighting ; proportional hazards model
|
|
Abstract:
|
In epidemiologic studies of time to an event, mean lifetime is often of direct interest. We propose methods to estimate treatment-specific differences restricted mean lifetime for studies where treatment is not randomized and lifetimes are subject to both dependent and independent censoring. The proposed methods may be viewed as a hybrid of two general approaches to accounting for confounders. Specifically, treatment-specific proportional hazards models are employed to account for baseline covariates, while inverse probability of censoring weighting is used to accommodate time-dependent predictors of censoring. Large-sample properties of the proposed estimators are derived and simulation studies are conducted to assess their finite-sample applicability. We apply the proposed methods to kidney wait list mortality data from the Scientific Registry of Transplant Recipients.
|
