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

doi:10.1093/geront/32.2.159

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 journal › Article › peer-review

11 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	159-163
Number of pages	5
Journal	Gerontologist
Volume	32
Issue number	2
DOIs	https://doi.org/10.1093/geront/32.2.159
State	Published - Apr 1992
Externally published	Yes

ASJC Scopus subject areas

General Medicine

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10.1093/geront/32.2.159

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AU - Pearson, Jay D.

AU - Clark, Rebecca D.

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AB - 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.

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A longitudinal approach to modeling outcomes in a nursing home study

Abstract

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