Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
416829 | Computational Statistics & Data Analysis | 2013 | 8 Pages |
Abstract
The semiparametric accelerated hazards mixture cure model provides a useful alternative to analyze survival data with a cure fraction if covariates of interest have a gradual effect on the hazard of uncured patients. However, the application of the model may be hindered by the computational intractability of its estimation method due to non-smooth estimating equations involved. We propose a new semiparametric estimation method based on a smooth estimating equation for the model and demonstrate that the new method makes the parameter estimation more tractable without loss of efficiency. The proposed method is used to fit the model to a SEER breast cancer data set.
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Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Jiajia Zhang, Yingwei Peng, Haifen Li,