Checking the linear transformation model for clustered failure time observations

被引：0
|
作者：
Satoshi Hattori
机构：
[1] Kurume University,The Biostatistics Center
来源：
Lifetime Data Analysis | 2008年 / 14卷
关键词：
Gaussian process; Martingale residuals; Proportional odds model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The linear transformation model is a semiparametric model which contains the Cox proportional hazards model and the proportional odds model as special cases. Cai et al. (Biometrika 87:867–878, 2000) have proposed an inference procedure for the linear transformation model with correlated censored observations. In this article, we develop formal and graphical model checking techniques for the linear transformation models based on cumulative sums of martingale-type residuals. The proposed method is illustrated with a clinical trial data.
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页码：253 / 266
页数：13
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