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Journal Article
Quantifying Intrinsic and Extrinsic Contributions to Human Longevity: Application of a Two-Process Vitality Model to the Human Mortality Database
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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...
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View articletitled, Quantifying Intrinsic and Extrinsic Contributions to <span class="search-highlight">Human</span> Longevity: Application of a Two-Process Vitality Model to the <span class="search-highlight">Human</span> <span class="search-highlight">Mortality</span> <span class="search-highlight">Database</span>
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for article titled, Quantifying Intrinsic and Extrinsic Contributions to <span class="search-highlight">Human</span> Longevity: Application of a Two-Process Vitality Model to the <span class="search-highlight">Human</span> <span class="search-highlight">Mortality</span> <span class="search-highlight">Database</span>
Journal Article
Erratum to: Quantifying Intrinsic and Extrinsic Contributions to Human Longevity: Application of a Two-Process Vitality Model to the Human Mortality Database
Available to Purchase
Demography (2017) 54 (5): 1999.
Published: 13 January 2017
View articletitled, Erratum to: Quantifying Intrinsic and Extrinsic Contributions to <span class="search-highlight">Human</span> Longevity: Application of a Two-Process Vitality Model to the <span class="search-highlight">Human</span> <span class="search-highlight">Mortality</span> <span class="search-highlight">Database</span>
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for article titled, Erratum to: Quantifying Intrinsic and Extrinsic Contributions to <span class="search-highlight">Human</span> Longevity: Application of a Two-Process Vitality Model to the <span class="search-highlight">Human</span> <span class="search-highlight">Mortality</span> <span class="search-highlight">Database</span>
Journal Article
A General Age-Specific Mortality Model With an Example Indexed by Child Mortality or Both Child and Adult Mortality
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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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View articletitled, A General Age-Specific <span class="search-highlight">Mortality</span> Model With an Example Indexed by Child <span class="search-highlight">Mortality</span> or Both Child and Adult <span class="search-highlight">Mortality</span>
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for article titled, A General Age-Specific <span class="search-highlight">Mortality</span> Model With an Example Indexed by Child <span class="search-highlight">Mortality</span> or Both Child and Adult <span class="search-highlight">Mortality</span>
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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View articletitled, Competing Effects on the Average Age of Infant Death
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for article titled, Competing Effects on the Average Age of Infant Death
Includes: Supplementary data
Journal Article
Mortality Deceleration and Mortality Selection: Three Unexpected Implications of a Simple Model
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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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View articletitled, <span class="search-highlight">Mortality</span> Deceleration and <span class="search-highlight">Mortality</span> Selection: Three Unexpected Implications of a Simple Model
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for article titled, <span class="search-highlight">Mortality</span> Deceleration and <span class="search-highlight">Mortality</span> Selection: Three Unexpected Implications of a Simple Model
Includes: Supplementary data
Journal Article
On the Beginning of Mortality Acceleration
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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
Coherent mortality forecasts for a group of populations: An extension of the lee-carter method
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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...
View articletitled, Coherent <span class="search-highlight">mortality</span> forecasts for a group of populations: An extension of the lee-carter method
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for article titled, Coherent <span class="search-highlight">mortality</span> forecasts for a group of populations: An extension of the lee-carter method
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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View articletitled, Life Course Patterns of Prescription Drug Use in the United States
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for article titled, Life Course Patterns of Prescription Drug Use in the United States
Includes: Supplementary data
Image
in Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses
> Demography
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 )
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in Lifespan Dispersion in Times of Life Expectancy Fluctuation: The Case of Central and Eastern Europe
> Demography
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
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Life expectancy at age 65 for females in selected countries. Data are from ...
Available to Purchase
in Estimating the Effect of Smoking on Slowdowns in Mortality Declines in Developed Countries
> Demography
Published: 26 April 2011
Fig. 1 Life expectancy at age 65 for females in selected countries. Data are from the Human Mortality Database ( 2009 )
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Cause-specific components of decreases in life expectancy losses between 19...
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in Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses
> Demography
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
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in How Has the Lower Boundary of Human Mortality Evolved, and Has It Already Stopped Decreasing?
> Demography
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. )
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The proportional change in the index calculated conditional upon survival t...
Available to PurchasePublished: 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
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in The Leverage of Demographic Dynamics on Carbon Dioxide Emissions: Does Age Structure Matter?
> Demography
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
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in Short Lives: The Impact of Parental Death on Early-Life Mortality and Height in the Netherlands, 1850–1940
> Demography
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) .
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in Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses
> Demography
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 )
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in Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses
> Demography
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 )
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Image
in Lifespan Dispersion in Times of Life Expectancy Fluctuation: The Case of Central and Eastern Europe
> Demography
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
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in The Cross-sectional Average Inequality in Lifespan (CAL † ): A Lifespan Variation Measure That Reflects the Mortality Histories of Cohorts
> Demography
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 ).
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