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Literature DB >> 992176

Life table techniques for multiple-cause mortality.

Abstract

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.

Entities: Disease

Mesh：

Year: 1976 PMID： 992176

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

12 in total

1. 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

Life table techniques for multiple-cause mortality.

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

2. Contribution to the study of the question of association between two diseases.

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

Review 4. Biological determinants of demographic processes.

5. Population epidemiology: an emerging field of inquiry for population and health students.

6. Age-at-onset distribution in chronic diseases. A life table approach to analysis of family data.

7. Estimating health program outcomes using a Markov equilibrium analysis of disease development.

8. Aging, population growth and chronic illness. A projection, United States 19f0-1985.

9. Estimating survival functions from the life table.

10. Analysis of categorical data by linear models.

1. 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.

2. On the demography of aging.

3. How long can we live? A more optimistic view of potential gains in life expectancy.

4. Temporal trends in U. S. multiple cause of death mortality data: 1968 to 1977.

5. What difference would it make if cancer were eradicated? An examination of the Taeuber paradox.

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

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

8. Mortality of the chronically impaired.