期刊
STATISTICS IN MEDICINE
卷 21, 期 21, 页码 3291-3315出版社
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.1264
关键词
complex data structures; mixed model; multilevel model; random effects model; repeated measures
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据