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Wiley, Statistics in Medicine, 23(31), p. 2745-2756, 2012

DOI: 10.1002/sim.5370

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Associations between Variability of Risk Factors and Health Outcomes in Longitudinal Studies

Journal article published in 2012 by Michael R. Elliott, Mary D. Sammel, Jessica Faul ORCID
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This paper is available in a repository.

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Abstract

Many statistical methods have been developed that treat within-subject correlation that accompanies the clustering of subjects in longitudinal data settings as a nuisance parameter, with the focus of analytic interest being on mean outcome or profiles over time. However, there is evidence that in certain settings (Elliott 2007; Harlow et al. 2000; Sammel et al. 2001 Kikuya et al. 2008) underlying variability in subject measures may also be important in predicting future health outcomes of interest. Here we develop a method for combining information from mean profiles and residual variance to assess associations with categorical outcomes in a joint modeling framework. We consider an application to relating word recall measures obtained over time to dementia onset from the Health and Retirement Survey.