Multilevel modelling of medical data

被引：295

作者：

Goldstein, H ^{[1
]}

Browne, W ^{[1
]}

Rasbash, J ^{[1
]}

机构：

[1] Univ London, Inst Educ, London WC1H 0AL, England

来源：

STATISTICS IN MEDICINE | 2002年 / 21卷 / 21期

关键词：

complex data structures; mixed model; multilevel model; random effects model; repeated measures;

D O I：

10.1002/sim.1264

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This tutorial presents an overview of multilevel or hierarchical data modelling and its applications in medicine. A description of the basic model for nested data is given and it is shown how this can be extended to fit flexible models for repeated measures data and more complex structures involving cross-classifications and multiple membership patterns within the software package MLwiN. A variety of response types are covered and both frequentist and Bayesian estimation methods are described. Copyright (C) 2002 John Wiley Sons, Ltd.

引用

页码：3291 / 3315

页数：25

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