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Correlated individual frailty: an advantageous approach to survival analysis of bivariate data.

Publication ,  Journal Article
Yashin, AI; Vaupel, JW; Iachine, IA
Published in: Mathematical population studies
January 1995

"We develop a new model of bivariate survival based on the notion of correlated individual frailty. We analyze the properties of this model and suggest a new approach to the analysis of bivariate data that does not require a parametric specification--but permits estimation--of the form of the hazard function for individuals. We empirically demonstrate the advantages of the model in the statistical analysis of bivariate data." (SUMMARY IN FRE)

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Published In

Mathematical population studies

DOI

ISSN

0889-8480

Publication Date

January 1995

Volume

5

Issue

2

Start / End Page

145 / 183

Related Subject Headings

  • Survival Rate
  • Statistics as Topic
  • Research
  • Population Dynamics
  • Population
  • Mortality
  • Models, Theoretical
  • Longevity
  • Demography
  • Demography
 

Citation

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Yashin, A. I., Vaupel, J. W., & Iachine, I. A. (1995). Correlated individual frailty: an advantageous approach to survival analysis of bivariate data. Mathematical Population Studies, 5(2), 145–183. https://doi.org/10.1080/08898489509525394
Yashin, A. I., J. W. Vaupel, and I. A. Iachine. “Correlated individual frailty: an advantageous approach to survival analysis of bivariate data.Mathematical Population Studies 5, no. 2 (January 1995): 145–83. https://doi.org/10.1080/08898489509525394.
Yashin AI, Vaupel JW, Iachine IA. Correlated individual frailty: an advantageous approach to survival analysis of bivariate data. Mathematical population studies. 1995 Jan;5(2):145–83.
Yashin, A. I., et al. “Correlated individual frailty: an advantageous approach to survival analysis of bivariate data.Mathematical Population Studies, vol. 5, no. 2, Jan. 1995, pp. 145–83. Epmc, doi:10.1080/08898489509525394.
Yashin AI, Vaupel JW, Iachine IA. Correlated individual frailty: an advantageous approach to survival analysis of bivariate data. Mathematical population studies. 1995 Jan;5(2):145–183.
Journal cover image

Published In

Mathematical population studies

DOI

ISSN

0889-8480

Publication Date

January 1995

Volume

5

Issue

2

Start / End Page

145 / 183

Related Subject Headings

  • Survival Rate
  • Statistics as Topic
  • Research
  • Population Dynamics
  • Population
  • Mortality
  • Models, Theoretical
  • Longevity
  • Demography
  • Demography