Ontology highlight
ABSTRACT: Objective
To compare models of attrition across race/ethnic groups of aging populations and discuss implications for health-related research.Data sources
The Health and Retirement Study (1992-2008).Study design
A competing risks model was estimated using a multinomial logit model when respondents faced competing types of risks, such as dying, being lost from the study, and nonresponse in some years for different groups of elderly. Key explanatory variables were foreign birth, health insurance, and health status.Principal findings
Variables describing foreign birth, health insurance, and health status differed in their prediction of attrition across ethnic groups of aging populations.Conclusions
Differences in the predictors of attrition across ethnic groups of elderly could potentially lead to biased estimates in health-related research using longitudinal data sources.
SUBMITTER: Zhivan NA
PROVIDER: S-EPMC3447243 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature
Zhivan Natalia A NA Ang Alfonso A Amaro Hortensia H Vega William A WA Markides Kyriakos S KS
Health services research 20110923 1 Pt 1
<h4>Objective</h4>To compare models of attrition across race/ethnic groups of aging populations and discuss implications for health-related research.<h4>Data sources</h4>The Health and Retirement Study (1992-2008).<h4>Study design</h4>A competing risks model was estimated using a multinomial logit model when respondents faced competing types of risks, such as dying, being lost from the study, and nonresponse in some years for different groups of elderly. Key explanatory variables were foreign bi ...[more]