Local influence in linear mixed models

被引:185
|
作者
Lesaffre, E [1 ]
Verbeke, G [1 ]
机构
[1] Catholic Univ Louvain, Univ Hosp St Rafael, Biostat Ctr Clin Trials, B-3000 Louvain, Belgium
关键词
diagnostics; influential subjects; linear mixed model; longitudinal data;
D O I
10.2307/3109764
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The linear mixed model has become an important tool in modelling, partially due to the introduction of the SAS procedure MIXED, which made the method widely available to practising statisticians. Its growing popularity calls fur data-analytic methods to check the underlying assumptions and robustness. Here. the problem of detecting influential subjects in the context elf longitudinal data is considered, following the approach of local influence proposed by Cook (1986, journal of the Royal Statistical Society, Series B 48, 133-169). The diagnostics are illustrated on a prostate cancer data set.
引用
收藏
页码:570 / 582
页数:13
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