Statistical analysis of longitudinal studies

Summary Longitudinal studies play a prominent role in research on growth, change and/or decline in individuals, and in characterising the environmental and social factors which influence change. The essential feature of a longitudinal study is taking repeated measures of an outcome on the same set o...

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Bibliographic Details
Published inInternational statistical review Vol. 90; no. S1; pp. S2 - S16
Main Author Laird, Nan M.
Format Journal Article
LanguageEnglish
Published Hoboken John Wiley & Sons, Inc 01.12.2022
Subjects
EM algorithm
linear mixed model
Longitudinal studies
random effects
Social factors
Statistical analysis
studies of growth and change
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Summary:Summary Longitudinal studies play a prominent role in research on growth, change and/or decline in individuals, and in characterising the environmental and social factors which influence change. The essential feature of a longitudinal study is taking repeated measures of an outcome on the same set of individuals at multiple timepoints, thereby allowing investigators to characterise within subject changes during the measurement period. This paper provides an overview of how the basic design features and analysis of longitudinal studies are related to other study designs, including longitudinal clinical trials as well as repeated measures studies. I summarise the use of the linear mixed model as described in Laird and Ware for the analysis of a broad class of designs and present some applications in health and medicine.
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ISSN:0306-7734
1751-5823
DOI:10.1111/insr.12523