期刊
DEMENTIA AND GERIATRIC COGNITIVE DISORDERS EXTRA
卷 1, 期 1, 页码 330-357出版社
KARGER
DOI: 10.1159/000330228
关键词
Analysis; Longitudinal studies; Methods; Neurology; Statistics
资金
- NIA [K23AG027171]
The purpose of this article is to provide a concise, broad and readily accessible overview of longitudinal data analysis methods, aimed to be a practical guide for clinical investigators in neurology. In general, we advise that older, traditional methods, including (1) simple regression of the dependent variable on a time measure, (2) analyzing a single summary subject level number that indexes changes for each subject and (3) a general linear model approach with a fixedsubject effect, should be reserved for quick, simple or preliminary analyses. We advocate the general use of mixed-random and fixed-effect regression models for analyses of most longitudinal clinical studies. Under restrictive situations or to provide validation, we recommend: (1) repeated-measure analysis of covariance (ANCOVA), (2) ANCOVA for two time points, (3) generalized estimating equations and (4) latent growth curve/structural equation models. Copyright (C) 2011 S. Karger AG, Basel
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