A flexible semiparametric transformation model for survival data

被引:0
|
作者
Thomas H. Scheike
机构
[1] University Of Copenhagen,Department of Biostatistics
来源
Lifetime Data Analysis | 2006年 / 12卷
关键词
Estimating equation; Flexible modeling; Linear transformation model; Proportional odds model; Semiparametric modeling; Survival data;
D O I
暂无
中图分类号
学科分类号
摘要
I suggest an extension of the semiparametric transformation model that specifies a time-varying regression structure for the transformation, and thus allows time-varying structure in the data. Special cases include a stratified version of the usual semiparametric transformation model. The model can be thought of as specifying a first order Taylor expansion of a completely flexible baseline. Large sample properties are derived and estimators of the asymptotic variances of the regression coefficients are given. The method is illustrated by a worked example and a small simulation study. A goodness of fit procedure for testing if the regression effects lead to a satisfactory fit is also suggested.
引用
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页码:461 / 480
页数:19
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