Document Detail


An overview of methods for the analysis of longitudinal data.
MedLine Citation:
PMID:  1480876     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper reviews statistical methods for the analysis of discrete and continuous longitudinal data. The relative merits of longitudinal and cross-sectional studies are discussed. Three approaches, marginal, transition and random effects models, are presented with emphasis on the distinct interpretations of their coefficients in the discrete data case. We review generalized estimating equations for inferences about marginal models. The ideas are illustrated with analyses of a 2 x 2 crossover trial with binary responses and a randomized longitudinal study with a count outcome.
Authors:
S L Zeger; K Y Liang
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Statistics in medicine     Volume:  11     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:    1992 Oct-Nov
Date Detail:
Created Date:  1993-02-05     Completed Date:  1993-02-05     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  1825-39     Citation Subset:  IM    
Affiliation:
Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland 21205.
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MeSH Terms
Descriptor/Qualifier:
Cross-Sectional Studies
Humans
Linear Models
Longitudinal Studies*
Mathematical Computing
Models, Statistical*
Random Allocation
Statistics as Topic / methods

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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