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How frailty models can be used for evaluating longevity limits: taking advantage of an interdisciplinary approach.

Publication ,  Journal Article
Yashin, AI; Iachine, IA
Published in: Demography
February 1997

In this paper we discuss an approach to the analysis of mortality and longevity limits when survival data on related individuals with and without observed covariates are available. The approach combines the ideas of demography and survival analysis with methods of quantitative genetics and genetic epidemiology. It allows us to analyze the genetic structure of frailty in the Cox-type hazard model with random effects. We demonstrate the implementation of this strategy to survival data on Danish twins. We then evaluate the resulting lower bounds for biological limits of human longevity. Finally, we discuss the limitations of this approach and directions of further research.

Duke Scholars

Published In

Demography

DOI

EISSN

1533-7790

ISSN

0070-3370

Publication Date

February 1997

Volume

34

Issue

1

Start / End Page

31 / 48

Related Subject Headings

  • Twin Studies as Topic
  • Survival Analysis
  • Proportional Hazards Models
  • Phenotype
  • Molecular Epidemiology
  • Longevity
  • Humans
  • Genetic Predisposition to Disease
  • Disease Susceptibility
  • Denmark
 

Citation

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Chicago
ICMJE
MLA
NLM
Yashin, A. I., & Iachine, I. A. (1997). How frailty models can be used for evaluating longevity limits: taking advantage of an interdisciplinary approach. Demography, 34(1), 31–48. https://doi.org/10.2307/2061658
Yashin, A. I., and I. A. Iachine. “How frailty models can be used for evaluating longevity limits: taking advantage of an interdisciplinary approach.Demography 34, no. 1 (February 1997): 31–48. https://doi.org/10.2307/2061658.
Yashin, A. I., and I. A. Iachine. “How frailty models can be used for evaluating longevity limits: taking advantage of an interdisciplinary approach.Demography, vol. 34, no. 1, Feb. 1997, pp. 31–48. Epmc, doi:10.2307/2061658.
Journal cover image

Published In

Demography

DOI

EISSN

1533-7790

ISSN

0070-3370

Publication Date

February 1997

Volume

34

Issue

1

Start / End Page

31 / 48

Related Subject Headings

  • Twin Studies as Topic
  • Survival Analysis
  • Proportional Hazards Models
  • Phenotype
  • Molecular Epidemiology
  • Longevity
  • Humans
  • Genetic Predisposition to Disease
  • Disease Susceptibility
  • Denmark