Multilevel mixed linear models for survival data

被引：25

作者：

Ha I.D. ^{[1
]}

Lee Y. ^{[2
]}

机构：

[1] Faculty of Information Science, Daegu Haany University, Kyungsan

[2] Department of Statistics, Seoul National University, Seoul

来源：

Lifetime Data Analysis | 2005年 / 11卷 / 1期

关键词：

Hierarchical-likelihood; Multilevel frailty models; Multilevel mixed linear models; Nested random effects;

D O I：

10.1007/s10985-004-5644-2

中图分类号：

学科分类号：

摘要：

For the analysis of correlated survival data mixed linear models are useful alternatives to frailty models. By their use the survival times can be directly modelled, so that the interpretation of the fixed and random effects is straightforward. However, because of intractable integration involved with the use of marginal likelihood the class of models in use has been severely restricted. Such a difficulty can be avoided by using hierarchical-likelihood, which provides a statistically efficient and fast fitting algorithm for multilevel models. The proposed method is illustrated using the chronic granulomatous disease data. A simulation study is carried out to evaluate the performance. © 2005 Springer Science+Business Media, Inc.

引用

页码：131 / 142

页数：11

共 29 条

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