Title |
The impact of heterogeneity in individual frailty on the dynamics of mortality
|
---|---|
Published in |
Demography, August 1979
|
DOI | 10.2307/2061224 |
Pubmed ID | |
Authors |
James W. Vaupel, Kenneth G. Manton, Eric Stallard |
Abstract |
Life table methods are developed for populations whose members differ in their endowment for longevity. Unlike standard methods, which ignore such heterogeneity, these methods use different calculations to construct cohort, period, and individual life tables. The results imply that standard methods overestimate current life expectancy and potential gains in life expectancy from health and safety interventions, while underestimating rates of individual aging, past progress in reducing mortality, and mortality differentials between pairs of populations. Calculations based on Swedish mortality data suggest that these errors may be important, especially in old age. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 38% |
Canada | 2 | 25% |
Italy | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 88% |
Members of the public | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 1% |
United Kingdom | 5 | 1% |
France | 3 | <1% |
Canada | 2 | <1% |
Spain | 2 | <1% |
Germany | 2 | <1% |
Netherlands | 1 | <1% |
Switzerland | 1 | <1% |
Brazil | 1 | <1% |
Other | 0 | 0% |
Unknown | 467 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 121 | 25% |
Researcher | 79 | 16% |
Student > Master | 63 | 13% |
Professor > Associate Professor | 33 | 7% |
Student > Doctoral Student | 26 | 5% |
Other | 95 | 19% |
Unknown | 73 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 85 | 17% |
Social Sciences | 62 | 13% |
Mathematics | 51 | 10% |
Medicine and Dentistry | 50 | 10% |
Economics, Econometrics and Finance | 29 | 6% |
Other | 113 | 23% |
Unknown | 100 | 20% |