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http://dx.doi.org/10.5351/KJAS.2007.20.1.039

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

Kim, Eun-Young (Department of Biostatistics, The Catholic University of Korea)
Song, Hae-Hiang (Department of Biostatistics, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.20, no.1, 2007 , pp. 39-52 More about this Journal
Abstract
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 n alternative analysis method. Example data is analyzed in order to compare these different methods.
Keywords
Crossover design; survival data; interval censoring; proportional hazards model;
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