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Mortality modeling: A review

Publication ,  Journal Article
Yashin, AI; Iachine, IA; Begun, AS
Published in: Mathematical Population Studies
January 1, 2000

Looking at survival in terms of biological indicators of aging has given rise to various models of mortality, some of which we review here. The most notable models are that of Strehler and Mildvan, which relates the force of mortality to the ability of organisms to compensate for stress, and that of Sacher and Trucco, which describes the role played by homeostatic forces in shaping the age-specific pattern of mortality. The analysis of longitudinal data in aging studies now incorporates the notions of heterogeneity and frailty, as well as that of changes in the "repair capacity" of organisms. Furthermore, attention is now being paid to evolutionary theory and to models of senescence. These models and directions for further research are discussed.

Duke Scholars

Published In

Mathematical Population Studies

DOI

ISSN

0889-8480

Publication Date

January 1, 2000

Volume

8

Issue

4

Start / End Page

305 / 332

Related Subject Headings

  • Demography
  • 4905 Statistics
  • 4901 Applied mathematics
  • 4403 Demography
  • 1603 Demography
  • 0102 Applied Mathematics
 

Citation

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ICMJE
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Yashin, A. I., Iachine, I. A., & Begun, A. S. (2000). Mortality modeling: A review. Mathematical Population Studies, 8(4), 305–332. https://doi.org/10.1080/08898480009525489
Yashin, A. I., I. A. Iachine, and A. S. Begun. “Mortality modeling: A review.” Mathematical Population Studies 8, no. 4 (January 1, 2000): 305–32. https://doi.org/10.1080/08898480009525489.
Yashin AI, Iachine IA, Begun AS. Mortality modeling: A review. Mathematical Population Studies. 2000 Jan 1;8(4):305–32.
Yashin, A. I., et al. “Mortality modeling: A review.” Mathematical Population Studies, vol. 8, no. 4, Jan. 2000, pp. 305–32. Scopus, doi:10.1080/08898480009525489.
Yashin AI, Iachine IA, Begun AS. Mortality modeling: A review. Mathematical Population Studies. 2000 Jan 1;8(4):305–332.
Journal cover image

Published In

Mathematical Population Studies

DOI

ISSN

0889-8480

Publication Date

January 1, 2000

Volume

8

Issue

4

Start / End Page

305 / 332

Related Subject Headings

  • Demography
  • 4905 Statistics
  • 4901 Applied mathematics
  • 4403 Demography
  • 1603 Demography
  • 0102 Applied Mathematics