Multiple imputation method for the semiparametric accelerated failure time mixture cure model

作者：Xu Linzhi; Zhang Jiajia^*

来源：Computational Statistics & Data Analysis, 2010, 54(7): 1808-1816.

DOI：10.1016/j.csda.2010.01.034

• Accelerated failure time model
• Mixture cure model
• Multiple imputation
• Rank estimation method
• Profile likelihood method

There are few discussions on the semiparametric accelerated failure time mixture cure model due to its complexity in estimation. In this paper, we propose a multiple imputation method for the semiparametric accelerated failure time mixture cure model based on the rank estimation method and the profile likelihood method. Both approaches can be easily implemented in R environment However, the computation time for the rank estimation method is longer than that from the profile likelihood method Simulation studies demonstrate that the performances of estimated parameters from the proposed methods are comparable to those from the expectation maximization (EM) algorithm, and the estimated variances are compa

• 出版日期2010-7-1