A note on the sensitivity to assumptions of a generalized linear mixed model

被引：3

作者：

Cox, D. R. ^{[1
]}

Wong, M. Y. ^{[2
]}

机构：

[1] Univ Oxford Nuffield Coll, Oxford OX1 1NF, England

[2] Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R China

来源：

BIOMETRIKA | 2010年 / 97卷 / 01期

关键词：

Conditional likelihood; Multilevel model; Poisson model; Recovery of information; Stratification;

D O I：

10.1093/biomet/asp083

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A simple case of Poisson regression is used to study the potential gain in efficiency from using a mixed model representation. Possible systematic errors arising from misspecification of the random terms in the model are examined. It is shown in particular that for a special but realistic problem, appreciable bias may arise from misspecification of a random component.

引用

页码：209 / 214

页数：6

共 8 条

[1]

[Anonymous], 1999, MULTILEVEL ANAL

[2] APPROXIMATE INFERENCE IN GENERALIZED LINEAR MIXED MODELS [J].