Binder, Nadine2; Gerds, Thomas A3; Andersen, Per Kragh3
1 Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, Københavns Universitet2 unknown3 Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, Københavns Universitet
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.
Lifetime Data Analysis, 2014, Vol 20, Issue 2, p. 303-15