Literature DB >> 510638

The impact of heterogeneity in individual frailty on the dynamics of mortality.

J W Vaupel, K G Manton, E Stallard.   

Abstract

Life table methods are developed for populations whose members differ in their endowment for longevity. Unlike standard methods, which ignore such heterogeneity, these methods use different calculations to construct cohort, period, and individual life tables. The results imply that standard methods overestimate current life expectancy and potential gains in life expectancy from health and safety interventions, while underestimating rates of individual aging, past progress in reducing mortality, and mortality differentials between pairs of populations. Calculations based on Swedish mortality data suggest that these errors may be important, especially in old age.

Mesh:

Year:  1979        PMID: 510638

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  4 in total

1.  A random-walk model of human mortality and aging.

Authors:  M A Woodbury
Journal:  Theor Popul Biol       Date:  1977-02       Impact factor: 1.570

2.  Improving life expectancy: an uphill road ahead.

Authors:  N Deyfitz
Journal:  Am J Public Health       Date:  1978-10       Impact factor: 9.308

3.  Maximum likelihood estimation of a stochastic compartment model of cancer latency: lung cancer mortality among white females in the U.S.

Authors:  K G Manton; E Stallard
Journal:  Comput Biomed Res       Date:  1979-08

4.  Compartment model approach to the estimation of tumor incidence and growth: investigation of a model of cancer latency.

Authors:  H D Tolley; D Burdick; K G Manton; E Stallard
Journal:  Biometrics       Date:  1978-09       Impact factor: 2.571

  4 in total
  356 in total

1.  Ageing and immortality.

Authors:  M R Rose; L D Mueller
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-11-29       Impact factor: 6.237

2.  Genes, demography, and life span: the contribution of demographic data in genetic studies on aging and longevity.

Authors:  A I Yashin; G De Benedictis; J W Vaupel; Q Tan; K F Andreev; I A Iachine; M Bonafe; M DeLuca; S Valensin; L Carotenuto; C Franceschi
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

3.  Generalized proportional hazards model based on modified partial likelihood.

Authors:  V B Bagdonavicius; M S Nikulin
Journal:  Lifetime Data Anal       Date:  1999-12       Impact factor: 1.588

4.  Assessing the impact of managed-care on the distribution of length-of-stay using Bayesian hierarchical models.

Authors:  D Stangl; G Huerta
Journal:  Lifetime Data Anal       Date:  2000-06       Impact factor: 1.588

5.  A two-stage estimator of the dependence parameter for the Clayton-Oakes model.

Authors:  D V Glidden
Journal:  Lifetime Data Anal       Date:  2000-06       Impact factor: 1.588

6.  Reconsidering mortality compression and deceleration: an alterative model of mortality rates.

Authors:  S M Lynch; J S Brown
Journal:  Demography       Date:  2001-02

7.  Hierarchical dependency models for multivariate survival data with censoring.

Authors:  S Gross; C Huber
Journal:  Lifetime Data Anal       Date:  2000-12       Impact factor: 1.588

8.  What difference does the dependence between durations make? Insights for population studies of aging.

Authors:  A I Yashin; I A Iachine
Journal:  Lifetime Data Anal       Date:  1999       Impact factor: 1.588

Review 9.  Conceptualisation and measurement of frailty in elderly people.

Authors:  K Rockwood; D B Hogan; C MacKnight
Journal:  Drugs Aging       Date:  2000-10       Impact factor: 3.923

10.  Explaining mortality rate plateaus.

Authors:  J S Weitz; H B Fraser
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-18       Impact factor: 11.205

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