Estimating healthy life expectancies using longitudinal data
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Estimating healthy life expectancies using longitudinal data methods and techniques in population health measures. by

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Published by National Center for Health Statistics in Hyattsville, MD .
Written in English

Subjects:

  • Life expectancy -- United States,
  • Demography -- United States,
  • Longitudinal method -- United States,
  • Life Expectancy -- United States,
  • Demography -- United States,
  • Longitudinal Studies -- United States,
  • Models, Statistical -- United States

Book details:

Edition Notes

SeriesVital and health statistics -- 146
ContributionsNational Center for Health Statistics (U.S.)
Classifications
LC ClassificationsHB1335 .E88 2008
The Physical Object
Paginationp. ;
ID Numbers
Open LibraryOL16636641M
ISBN 100840606206
LC Control Number2008007102
OCLC/WorldCa195764856

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Molla MT, Madans JH () Estimating healthy life expectancies using longitudinal s urvey data: methods and techniques in population health measures. National Center for Health Statistics. Author(s): National Center for Health Statistics (U.S.) Title(s): Estimating healthy life expectancies using longitudinal survey data: methods and techniques in population health measures. Country of Publication: United States Publisher: Hyattsville, Md.: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention. Methods: Healthy life expectancies are calculated using the multistate life table model. Expected life in various states of health is estimated using data from the Second Longitudinal Study of Aging and the Medicare Current Beneficiary Survey to illustrate the calculation of the statistics and the discussion of data and methodology related issues. Estimating healthy life expectancies using longitudinal survey data; methods and techniques in population health measures Personal Author: Madans, Jennifer H.; Molla, Michael T.;.

These expectancies are conditional on knowledge of the initial state and as such they are called conditional working life expectancies. Details of the estimation of transition probabilities can be found in Davis et al. 1 and a brief description is given in the Appendix. Similar methods for treating marginal cross-sectional data are described inCited by: 8. METHODS: Estimation of cohort life expectancy was based on an age-cohort model. Mortality data for the male population in Taiwan from to are used to illustrate the methodology. RESULTS: The increment of life expectancy over time in Taiwan is actually steeper than was previously thought using the current life table by: 5.   The life expectancy tables and calculators below are listed in order of the simplest to the most advanced methods of estimating life expectancy. Easiest Life Expectancy Calculator If you want a quick, easy estimate, simply look up your current age using the online life expectancy calculator from the Social Security Administration. Estimating Marginal Cohort Working Life Expectancies from Sequential Cross-sectional Survey Data Markku M. Nurminen1, Christopher R. Heathcote2, and Brett A. Davis3 This article applies recently developed health expectancy methodologies to estimate the average duration of future work life in different states of work ability. Data on workingCited by: 4.

  Health-related quality of life (HRQL) has become an increasingly important outcome parameter in clinical trials and epidemiological research. HRQL scores are typically bounded at both ends of the scale and often highly skewed. Several regression techniques have been proposed to model such data in cross-sectional studies, however, methods applicable in longitudinal research are less well Cited by: 20 estimating Life expectancies of highway assets Method R eferences in (Liang et al., ) P hysical-mathematical m odel Bazant (a,b) A ccelerated durability test method Fagerlund () E valuation of parameters of deterioratio n C ady & Weyers () A ccelerated test and mathematical model Influence or Application Predicted time of t p. TRB’s National Cooperative Highway Research Program (NCHRP) Report Estimating Life Expectancies of Highway Assets, Volume 2: Final Report describes the technical issues and data needs associated with estimating asset life expectancies and the practices used in a number of fields—such as the energy and financial industries—to make such estimates. Downloadable (with restrictions)! In this article we estimate health transition probabilities using longitudinal data collected in France for the survey on handicaps, disabilities and dependencies from to Life expectancies with and without disabilities are estimated using a Markov-based multi-state life table approach with two non-absorbing states: able to perform all activities of.