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

doi:10.1080/03610730701239004

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

Journal article

Open access

Peer reviewed

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 and Boo Johansson

Experimental aging research, Vol.33(2), pp.187-203

04/2007

DOI: 10.1080/03610730701239004

PMID: 17364907

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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.

Age Factors

Aging - physiology

Models, Biological

Humans

Mortality

Sex Factors

Aged, 80 and over

Female

Male

Survival Rate

Twin Studies as Topic

Longitudinal Studies

Details

Title: Subtitle: Population inference with mortality and attrition in longitudinal studies on aging: a two-stage multiple imputation method
Creators: Ofer Harel - Department of Statistics, University of Connecticut, Storrs, Connecticut 06269-4120, USA. oharel@stat.uconn.edu
Scott M Hofer
Lesa Hoffman
Nancy L Pedersen
Boo Johansson
Resource Type: Journal article
Publication Details: Experimental aging research, Vol.33(2), pp.187-203
DOI: 10.1080/03610730701239004
PMID: 17364907
NLM abbreviation: Exp Aging Res
ISSN: 0361-073X
eISSN: 1096-4657
Publisher: United States
Grant note: K01 MH087219 / NIMH NIH HHS R01 AG026453 / NIA NIH HHS AG08861 / NIA NIH HHS
Language: English
Date published: 04/2007
Academic Unit: Psychological and Quantitative Foundations
Record Identifier: 9983993328802771

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