Population inference with mortality and attrition in longitudinal studies on aging: A two-stage multiple imputation method

Ofer Harel, Scott M. Hofer, Lesa Hoffman, Nancy L. Pedersen, Boo Johansson

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

A major challenge for inference regarding aging-related change in longitudinal studies is that of study attrition and population mortality. Inferences in longitudinal studies can account for attrition and mortality-related change as distinct processes, but this is made difficult when follow-up of all individuals (i.e., age at death) is not complete. This is a common problem because most longitudinal studies of aging either have incomplete follow-up or are still collecting data on subsequent outcomes, including time of death. A statistical approach is suggested for including time-to-death as a predictor in models with incomplete follow-up using a two-stage multiple-imputation procedure. An empirical example using data from the OCTO-Twin study is presented that shows the utility of his procedure for making inferences conditional on mortality when mortality data are incomplete.

Original languageEnglish (US)
Pages (from-to)187-203
Number of pages17
JournalExperimental aging research
Volume33
Issue number2
DOIs
StatePublished - Apr 1 2007

ASJC Scopus subject areas

  • Aging
  • Arts and Humanities (miscellaneous)
  • Psychology(all)
  • Geriatrics and Gerontology

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