Literature DB >> 456707

Effects of dependency among causes of death for cause elimination life table strategies.

K G Manton, S S Poss.   

Abstract

A study is made of the effects of associated causes of death, and of dependency among causes of death, by observing the relative importance of one cause of death when another is eliminated under various competing risk models. Two disease pairs, cancer and infectious disease and stroke and ischemic heart disease, are selected for analysis because they represent different types of disease dependence. Crude probabilities of death for each disease are calculated for the U.S. white male population in 1969. Next, the effects of the complementary disease in a pair are hypothetically eliminated in one of three ways: (a) a standard competing risk adjustment for cause elimination when deaths are singly caused (Chiang, 1968), (b) lethal defect-pattern of failure computations for multiply caused death when no causal order is inferred (Manton et al., 1976), and (c) relative susceptibility, computations for multiply caused deaths when causes are ordered (Wong, 1977). The paper closes with a discussion of the relative merits of the three types of adjustments.

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Year:  1979        PMID: 456707

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


  10 in total

1.  A review and critique of some models used in competing risk analysis.

Authors:  M Gail
Journal:  Biometrics       Date:  1975-03       Impact factor: 2.571

2.  CAUSES OF DEATH IN ACUTE LEUKEMIA: A TEN-YEAR STUDY OF 414 PATIENTS FROM 1954-1963.

Authors:  E M HERSH; G P BODEY; B A NIES; E J FREIREICH
Journal:  JAMA       Date:  1965-07-12       Impact factor: 56.272

3.  A nonidentifiability aspect of the problem of competing risks.

Authors:  A Tsiatis
Journal:  Proc Natl Acad Sci U S A       Date:  1975-01       Impact factor: 11.205

4.  Life table techniques for multiple-cause mortality.

Authors:  K G Manton; D H Tolley; S S Poss
Journal:  Demography       Date:  1976-11

5.  A competing-risk model based on the life table procedure in epidemiological studies.

Authors:  O Wong
Journal:  Int J Epidemiol       Date:  1977-06       Impact factor: 7.196

6.  Proceedings: Causes of death in cancer patients.

Authors:  J Inagaki; V Rodriguez; G P Bodey
Journal:  Cancer       Date:  1974-02       Impact factor: 6.860

7.  True incidence of pulmonary embolization and vital statistics.

Authors:  I Rossman
Journal:  JAMA       Date:  1974 Dec 23-30       Impact factor: 56.272

8.  Analysis of categorical data by linear models.

Authors:  J E Grizzle; C F Starmer; G G Koch
Journal:  Biometrics       Date:  1969-09       Impact factor: 2.571

9.  A linear models application of competing risks to multiple causes of death.

Authors:  H D Tolley; K G Manton; S S Poss
Journal:  Biometrics       Date:  1978-12       Impact factor: 2.571

10.  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

  10 in total
  9 in total

1.  Gains in life expectancy after elimination of major causes of death: revised estimates taking into account the effect of competing causes.

Authors:  J P Mackenbach; A E Kunst; H Lautenbach; Y B Oei; F Bijlsma
Journal:  J Epidemiol Community Health       Date:  1999-01       Impact factor: 3.710

Review 2.  Air pollution and life expectancy: is there a relation?

Authors:  B Brunekreef
Journal:  Occup Environ Med       Date:  1997-11       Impact factor: 4.402

3.  A generalization of life expectancy which incorporates the age distribution of the population and its use in the measurement of the impact of mortality reduction.

Authors:  S C Newman
Journal:  Demography       Date:  1986-05

4.  On the demography of aging.

Authors:  J S Siegel
Journal:  Demography       Date:  1980-11

5.  [Quality of statistics on causes of death: current problems and perspectives].

Authors:  F Paccaud
Journal:  Soz Praventivmed       Date:  1982-09

6.  Estimates of U.S. multiple cause life tables.

Authors:  K G Manton; E Stallard; S S Poss
Journal:  Demography       Date:  1980-02

7.  Mortality model based on delays in progression of chronic diseases: alternative to cause elimination model.

Authors:  K G Manton; C H Patrick; E Stallard
Journal:  Public Health Rep       Date:  1980 Nov-Dec       Impact factor: 2.792

8.  Mortality of the chronically impaired.

Authors:  K G Manton; E Stallard
Journal:  Demography       Date:  1980-05

9.  [Years of life lost: known methods and a refined approach using the example of the most frequent causes of death in Germany].

Authors:  Joachim Hübner; Johann Mattutat; Alexander Katalinic
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2021-10-01       Impact factor: 1.513

  9 in total

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