Semiparametric estimation method for accelerated failure time model with dependent censoring |
| |
Authors: | Wenli Deng Fei Ouyang Jiajia Zhang |
| |
Institution: | 1. Department of Mathematics and Information Science, Jiangxi Normal University, China;2. Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA |
| |
Abstract: | Independent censoring is commonly assumed in survival analysis. However, it may be questionable when censoring is related to event time. We model the event and censoring time marginally through accelerated failure time models, and model their association by a known copula. An iteration algorithm is proposed to estimate the regression parameters. Simulation results show the improvement of the proposed method compared to the naive method under independent censoring. Sensitivity analysis gives the evidences that the proposed method can obtain reasonable estimates even when the forms of copula are misspecified. We illustrate its application by analyzing prostate cancer data. |
| |
Keywords: | Accelerated failure time model Copula Dependent censoring |
|
|