Goodness of fit tests for estimating equations based on pseudo-observations

被引：0
作者：
Klemen Pavlič
Torben Martinussen
Per Kragh Andersen
机构：
[1] University of Ljubljana,Institute for Biostatistics and Medical Informatics, Faculty of Medicine
[2] University of Copenhagen,Section of Biostatistics
来源：
Lifetime Data Analysis | 2019年 / 25卷
关键词：
Goodness-of-fit; Pseudo-observations; Survival probability; Cumulative incidence function; Restricted mean life time; Years lost;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We study regression models for mean value parameters in survival analysis based on pseudo-observations. Such parameters include the survival probability and the cumulative incidence in a single point as well as the restricted mean life time and the cause-specific number of years lost. Goodness of fit techniques for such models based on cumulative sums of pseudo-residuals are derived including asymptotic results and Monte Carlo simulations. Practical examples from liver cirrhosis and bone marrow transplantation are also provided.
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页码：189 / 205
页数：16
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