Literature DB >> 8762391

Estimating life expectancy using an age-cohort model in Taiwan.

W C Lee1, R L Hsieh.   

Abstract

OBJECTIVES: Life expectation is a valuable summary index in public health and actuarial science. The life expectancies published in the vital statistics, however, are derived from the "current" rather than from the "cohort" life table. The former is based on a strong assumption of constant mortality in the population, whereas the latter calls for a recording of the mortality experience of a group of individuals, which is often an impossible task. Thus, a method of calculating cohort life expectancy without actual follow up is much needed.
METHODS: Estimation of cohort life expectancy was based on an age-cohort model. Mortality data for the male population in Taiwan from 1951 to 1990 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 technique.
CONCLUSIONS: The method is easy to implement and the data required are the usual age and period cross classified mortality data. It warrants further investigation.

Mesh:

Year:  1996        PMID: 8762391      PMCID: PMC1060255          DOI: 10.1136/jech.50.2.214

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  7 in total

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Authors:  H Brenner; H Ziegler
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2.  Forecasting chronic disease risks in developing countries.

Authors:  J E Dowd; K G Manton
Journal:  Int J Epidemiol       Date:  1990-12       Impact factor: 7.196

3.  Models for temporal variation in cancer rates. I: Age-period and age-cohort models.

Authors:  D Clayton; E Schifflers
Journal:  Stat Med       Date:  1987-06       Impact factor: 2.373

4.  Using age, period and cohort models to estimate future mortality rates.

Authors:  C Osmond
Journal:  Int J Epidemiol       Date:  1985-03       Impact factor: 7.196

5.  The estimation of age, period and cohort effects for vital rates.

Authors:  T R Holford
Journal:  Biometrics       Date:  1983-06       Impact factor: 2.571

6.  The analysis of rates using Poisson regression models.

Authors:  E L Frome
Journal:  Biometrics       Date:  1983-09       Impact factor: 2.571

7.  The effect of a reduction in leading causes of death: potential gains in life expectancy.

Authors:  S P Tsai; E S Lee; R J Hardy
Journal:  Am J Public Health       Date:  1978-10       Impact factor: 9.308

  7 in total
  2 in total

1.  Estimating life expectancy using an age-cohort model: a critique.

Authors:  Y B Cheung
Journal:  J Epidemiol Community Health       Date:  1997-04       Impact factor: 3.710

2.  Quantifying the future impact of disease on society: life table-based measures of potential life lost.

Authors:  W C Lee
Journal:  Am J Public Health       Date:  1997-09       Impact factor: 9.308

  2 in total

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