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Improving knowledge about disability transitions by adding retrospective information to panel surveys. Population Health Metrics
James N. Laditka,
Douglas A. Wolf
Department of Public Administration
Aging Studies Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
Overview
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Dive into the research topics of 'Improving knowledge about disability transitions by adding retrospective information to panel surveys. Population Health Metrics'. Together they form a unique fingerprint.
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Keyphrases
Disability
100%
Disability Transitions
100%
Panel Survey
100%
Population Health Indicators
100%
Retrospective Information
100%
Microsimulation
18%
Functional Status
18%
United States
9%
Public Health
9%
Non-disabled
9%
Transition Probability
9%
Disability Status
9%
Question Answering
9%
Long-term Care
9%
Health Care Surveys
9%
Limited Information
9%
Estimation Bias
9%
Hausman Test
9%
Embedded Markov Chain
9%
Disability History
9%
Status Transition
9%
Markov Chain Analysis
9%
Predicting Change
9%
Earth and Planetary Sciences
United States
100%
Panel Data
100%
Markov Chain
100%
Transition Probability
100%
Agricultural and Biological Sciences
Long Term Care
100%
Markov Chain
100%
Economics, Econometrics and Finance
Panel Study
100%
Markov Chain
20%