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Human Mortality Database

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Journal Article
Demography (2016) 53 (6): 2105–2119.
Published: 11 November 2016
... vitality model to data from the Human Mortality Database. Model parameters yield intrinsic and extrinsic cumulative survival curves from which we derive intrinsic and extrinsic expected life spans (ELS). Intrinsic ELS, a measure of longevity acted on by intrinsic, physiological factors, changed slowly over...
FIGURES | View All (5)
Journal Article
Demography (2017) 54 (5): 1999.
Published: 13 January 2017
Journal Article
Demography (2019) 56 (3): 1131–1159.
Published: 28 May 2019
... or child/adult mortality and mortality at other ages in the observed mortality schedules of the Human Mortality Database. Cross-validation is used to validate the model, and the predictive performance of the model is compared with that of the log-quadratic (Log-Quad) model, which is designed to do the same...
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Includes: Supplementary data
Journal Article
Demography (2022) 59 (2): 587–605.
Published: 01 April 2022
... approximation formula for a 1 0 in low-mortality contexts, which aims to incorporate differences in preterm birth through a proxy measure—the ratio of infant to under-five mortality. Models are built and tested using data from the Human Mortality Database. Model results and validation show that the newly...
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Includes: Supplementary data
Journal Article
Demography (2014) 51 (1): 51–71.
Published: 03 January 2014
... of the cohort is frail; (2) multiple decelerations are possible; and (3) mortality selection can produce acceleration as well as deceleration. Simulations show that these patterns are plausible in model cohorts that in the aggregate resemble cohorts in the Human Mortality Database. I argue that these results...
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Includes: Supplementary data
Journal Article
Demography (2015) 52 (1): 39–60.
Published: 25 December 2014
... in 14 of the countries included in the Human Mortality Database, indicates that an age at the onset of manifest aging can be identified. However, it has not remained constant: it has declined from about 43 and 47 years, respectively, for males and females at the beginning of the period (cohorts born...
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Journal Article
Demography (2005) 42 (3): 575–594.
Published: 01 August 2005
... into account the patterns in a larger group. Using the Human Mortality Database, we apply the Lee-Carter model to a group of populations, allowing each its own age pattern and level of mortality but imposing shared rates of change by age. Our forecasts also allow divergent patterns to continue for a while...
Journal Article
Demography (2023) 60 (5): 1549–1579.
Published: 01 October 2023
..., the Human Mortality Database, and the National Center for Health Statistics. Newborns in 2019 could be expected to take prescription drugs for roughly half their lives: 47.54 years for women and 36.84 years for men. The number of years individuals can expect to take five or more drugs increased...
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Includes: Supplementary data
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Published: 26 February 2011
Fig. 2 The e † versus e 0 correspondence for 29 industrialized Human Mortality Database countries in 2002. Data are from authors’ calculations on data from the Human Mortality Database ( 2007 ) More
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Published: 12 November 2018
Fig. 1 Male mortality surface showing rates of mortality improvements. The regular white areas indicate no data available. Source: Own calculations based on Human Mortality Database ( 2016 ) data More
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Published: 26 April 2011
Fig. 1 Life expectancy at age 65 for females in selected countries. Data are from the Human Mortality Database ( 2009 ) More
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Published: 26 February 2011
Fig. 5 Cause-specific components of decreases in life expectancy losses between 1980 and 2002 in the United States (US) and England and Wales (E&W) for the range of ages under the threshold. Data are from the authors’ calculation on data from the Human Mortality Database ( 2007 ) and the WHO More
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Published: 03 August 2018
Fig. 1 Age-specific mortality in France, females: Years 1850, 1900, 1950, and 2000. Mortality rates are smoothed. Source: Own illustration using age-specific death counts and exposures-to-risk from the Human Mortality Database ( n.d. ) More
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Published: 17 September 2013
Fig. 7 The proportional change in the index calculated conditional upon survival to age 10 from a 1 % change in mortality at each age on the x -axis. French males, period life table data from the Human Mortality Database More
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Published: 17 February 2011
Fig. 6 Stable age structures resulting from the projection over the long run of populations with the fertility rates of the United States in 2001, and the mortality rates of the United States in 1933 and 2001. Data are from the Human Mortality Database and U.S. Census Bureau More
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Published: 01 February 2023
Fig. 2 Trends in conscription height at about age 20 and male mortality rates at ages 0–20 in the Netherlands, 1830–1950. The gray shading indicates the research period. Sources: Historical Sample of the Netherlands ( HSN 2018 ) and the Human Mortality Database (2020) . More
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Published: 26 February 2011
Fig. 3 Comparison of the curves between the United States (US) and England and Wales (E&W) in 1950 and 2002. Data are from authors’ calculations on data from the Human Mortality Database ( 2007 ) More
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Published: 26 February 2011
Fig. 3 Comparison of the curves between the United States (US) and England and Wales (E&W) in 1950 and 2002. Data are from authors’ calculations on data from the Human Mortality Database ( 2007 ) More
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Published: 01 February 2022
Fig. 3 Cumulative age-cohort contribution to the gap in CAL † in Sweden and Italy with respect to the average population, for females and males, 2013. Source: Authors' calculations based on the Human Mortality Database ( 2019 ). More
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Published: 12 November 2018
Fig. 4 Males’ age-specific contributions to the change in lifespan disparity e † by periods. Data for Slovenia begin in 1983. Source: Own calculations based on Human Mortality Database ( 2016 ) data More