A longitudinal approach to modeling outcomes in a nursing home study

Larry J. Brant, Pearl S. German, Barry W. Rovner, Lynda C. Burton, Jay D. Pearson, Rebecca D. Clark

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Recent developments in longitudinal statistical methodology have improved our ability to model dynamic processes such as adaptation to nursing homes. Longitudinal observations provide information on individual patterns of change and factors affecting them. However, longitudinal analyses are often complicated by unequal periods of observation and individual variability in patterns of change. This paper demonstrates the use of a linear mixed-effects model to study adaptation in a longitudinal nursing home study with different numbers of repeated measurements for each individual because of discharges, transfers, and mortality. Key Words: Adaptation, Individual variability, Institutional care, Predictive outcome.

Original languageEnglish (US)
Pages (from-to)159-163
Number of pages5
Issue number2
StatePublished - Apr 1992

ASJC Scopus subject areas

  • Gerontology
  • Geriatrics and Gerontology


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