Journal
LIFETIME DATA ANALYSIS
Volume 20, Issue 2, Pages 303-315Publisher
SPRINGER
DOI: 10.1007/s10985-013-9247-7
Keywords
Competing risks; Covariate-dependent censoring; Cumulative incidence; Pseudo-observations
Funding
- Danish Natural Science Research Council [272-06-0442]
- Public Health Service Grant/Cooperative National Cancer Institute (NCI) [U24-CA76518]
- National Heart, Lung and Blood Institute (NHLBI)
- National Institute of Allergy and Infectious Diseases (NIAID)
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Regression analysis for competing risks data can be based on generalized estimating equations. For the case with right censored data, pseudo-values were proposed to solve the estimating equations. In this article we investigate robustness of the pseudo-values against violation of the assumption that the probability of not being lost to follow-up (un-censored) is independent of the covariates. Modified pseudo-values are proposed which rely on a correctly specified regression model for the censoring times. Bias and efficiency of these methods are compared in a simulation study. Further illustration of the differences is obtained in an application to bone marrow transplantation data and a corresponding sensitivity analysis.
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