Analysis of Interval-censored Survival Data from Crossover Trials with Proportional Hazards Model

被引:0
作者
Kim, Eun-Young [1 ]
Song, Hae-Hiang [1 ]
机构
[1] Catholic Univ Korea, Dept Biostat, Seoul 137701, South Korea
关键词
Crossover design; survival data; interval censoring; proportional hazards model;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Crossover trials of new drugs in the treatment of angina pectoris, which frequently use treadmill exercise test for the assessment of its efficacy, produce censored survival times. In this paper we consider analysis approaches for censored survival times from crossover trials. Previously, a stratified Cox model for paired observation and nonparametric methods have been presented as possible analysis methods. On the other hand, the differences of two survival times would produce interval-censored survival times and we propose a Cox model for interval-censored data as an alternative analysis method. Example data is analyzed in order to compare these different methods.
引用
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页码:39 / 52
页数:14
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