Pseudo-observations for competing risks with covariate dependent censoring

TY - JOUR

T1 - Pseudo-observations for competing risks with covariate dependent censoring

AU - Binder, Nadine

AU - Gerds, Thomas A

AU - Andersen, Per Kragh

PY - 2014/4

Y1 - 2014/4

N2 - 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.

AB - 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.

U2 - 10.1007/s10985-013-9247-7

DO - 10.1007/s10985-013-9247-7

M3 - Journal article

C2 - 23430270

SN - 1380-7870

VL - 20

SP - 303

EP - 315

JO - Lifetime Data Analysis

JF - Lifetime Data Analysis

IS - 2

ER -