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Life table techniques for multiple-cause mortality.

Publication ,  Journal Article
Manton, KG; Tolley, DH; Poss, SS
Published in: Demography
November 1976

A lethal defect-wear model of mortality is presented which rationalizes the assumption of independent risks when death may be due to more than a single condition. Under this model, it is shown how competing risk theory and standard categorical data methods may be merged in a unified approach to the analysis of multiple-cause mortality data. The methodology is used to analyze linkages among diseases in the mortality data and evaluate the implication of the elimination of patterns of morbid states for multiple-cause mortality data from deaths occurring in 1969 in North Carolina.

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Published In

Demography

DOI

EISSN

1533-7790

ISSN

0070-3370

Publication Date

November 1976

Volume

13

Issue

4

Start / End Page

541 / 564

Related Subject Headings

  • Population Growth
  • North Carolina
  • Mortality
  • Models, Theoretical
  • Mathematics
  • Life Expectancy
  • Humans
  • Demography
  • Aging
  • 4403 Demography
 

Citation

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ICMJE
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Manton, K. G., Tolley, D. H., & Poss, S. S. (1976). Life table techniques for multiple-cause mortality. Demography, 13(4), 541–564. https://doi.org/10.2307/2060509
Manton, K. G., D. H. Tolley, and S. S. Poss. “Life table techniques for multiple-cause mortality.Demography 13, no. 4 (November 1976): 541–64. https://doi.org/10.2307/2060509.
Manton KG, Tolley DH, Poss SS. Life table techniques for multiple-cause mortality. Demography. 1976 Nov;13(4):541–64.
Manton, K. G., et al. “Life table techniques for multiple-cause mortality.Demography, vol. 13, no. 4, Nov. 1976, pp. 541–64. Epmc, doi:10.2307/2060509.
Manton KG, Tolley DH, Poss SS. Life table techniques for multiple-cause mortality. Demography. 1976 Nov;13(4):541–564.
Journal cover image

Published In

Demography

DOI

EISSN

1533-7790

ISSN

0070-3370

Publication Date

November 1976

Volume

13

Issue

4

Start / End Page

541 / 564

Related Subject Headings

  • Population Growth
  • North Carolina
  • Mortality
  • Models, Theoretical
  • Mathematics
  • Life Expectancy
  • Humans
  • Demography
  • Aging
  • 4403 Demography