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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Statistics in Medici...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Statistics in Medicine
Article . 2006 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
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Decomposition of life expectancy and expected life-years lost by disease

Authors: Charles C, Lin; Norman J, Johnson;

Decomposition of life expectancy and expected life-years lost by disease

Abstract

Life expectancy is commonly used to summarize the life-time mortality experience of a population. Differences in life expectancy are well-known across different levels of socioeconomic status such as income and education. A recent simulation study of potential life-years lost has shown the effects that major diseases contribute to differences in life expectancy at birth. We propose a general methodology to decompose life expectancy and expected life-years lost by disease in order to determine the contribution of diseases to differences in life expectancy at each given age. We show that the estimates for the life expectancy, expected life-years lost and their variances at each age can be computed backward recursively from an old age. The difference in life expectancy between groups will be shown to include contributions from diseases and life-year differences which occur after an old age cut-off beyond which the contribution of diseases cannot be easily determined. Diseases will be grouped into 14 major disease categories. Data from the National Longitudinal Mortality Study will be used for demonstration purposes.

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Keywords

Adult, Aged, 80 and over, Male, Longevity, Middle Aged, Survival Analysis, Life Expectancy, Data Interpretation, Statistical, Humans, Female, Prospective Studies, Mortality, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Average
Related to Research communities
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