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James J Anderson

Biographic Data

ID3880349
NAMEJames J Anderson
GIVEN NAMESJames J
FAMILY NAMEAnderson
SIGNATUREANDERSON J J
AFFILIATIONSUniversity of Washington
ORCID0000-0003-4124-3466
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS15
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2016
H-INDEX2
  • Quantifying Intrinsic and Extrinsic Contributions to Human Longevity

    Open Access•David J Sharrow, David Sharrow et al.•ARTICLE•Demography•2016•Cited by: 1•References: 26

    The rise in human life expectancy has involved declines in intrinsic and extrinsic mortality processes associated, respectively, with senescence and environmental challenges. To better understand the factors driving this rise, we apply a two-process 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 (EL…

  • The Strehler-Mildvan correlation from the perspective of a two-process vitality model

    Ting Li, James J Anderson•ARTICLE•Population Studies•2015•Cited by: 2•References: 41

    The Strehler and Mildvan (SM) general theory of ageing and mortality provides a mechanism-based explanation of Gompertz's law and predicts a log-linear relationship between the two Gompertz coefficients, known as the SM correlation. While the SM correlation is supported by data from developed countries before the second half of the twentieth century, the recent breakdown of the correlation pattern in these countries has prompted demographers to c…

  • Mortality Increase in Late-Middle and Early-Old Age

    Open Access•Ting Li, Y C Yang et al.•ARTICLE•Demography•2013•Cited by: 6•References: 59

    Deviations from the Gompertz law of exponential mortality increases in late-middle and early-old age are commonly neglected in overall mortality analyses. In this study, we examined mortality increase patterns between ages 40 and 85 in 16 low-mortality countries and demonstrated sex differences in these patterns, which also changed across period and cohort. These results suggest that the interaction between aging and death is more complicated tha…

  • Shaping human mortality patterns through intrinsic and extrinsic vitality processes

    Open Access•Ting Li, James Anderson et al.•ARTICLE•Demographic Research•2013•Cited by: 6•References: 47

    While historical declines in human mortality are clearly shaped by lifestyle and environmental improvements, modeling patterns is difficult because intrinsic and extrinsic processes shape mortality through complex stochastic interactions

  • Mortality Increase in Late-Middle and Early-Old Age

    Open Access•Ting Li, Y C Yang et al.•ARTICLE•Demography•2013•Cited by: 6•References: 59

    Deviations from the Gompertz law of exponential mortality increases in late-middle and early-old age are commonly neglected in overall mortality analyses. In this study, we examined mortality increase patterns between ages 40 and 85 in 16 low-mortality countries and demonstrated sex differences in these patterns, which also changed across period and cohort. These results suggest that the interaction between aging and death is more complicated tha…

  • Shaping human mortality patterns through intrinsic and extrinsic vitality processes

    Open Access•Ting Li, James Anderson et al.•ARTICLE•Demographic Research•2013•Cited by: 6•References: 47

    While historical declines in human mortality are clearly shaped by lifestyle and environmental improvements, modeling patterns is difficult because intrinsic and extrinsic processes shape mortality through complex stochastic interactions

  • The Strehler-Mildvan correlation from the perspective of a two-process vitality model

    Ting Li, James J Anderson•ARTICLE•Population Studies•2015•Cited by: 2•References: 41

    The Strehler and Mildvan (SM) general theory of ageing and mortality provides a mechanism-based explanation of Gompertz's law and predicts a log-linear relationship between the two Gompertz coefficients, known as the SM correlation. While the SM correlation is supported by data from developed countries before the second half of the twentieth century, the recent breakdown of the correlation pattern in these countries has prompted demographers to c…

  • Quantifying Intrinsic and Extrinsic Contributions to Human Longevity

    Open Access•David J Sharrow, David Sharrow et al.•ARTICLE•Demography•2016•Cited by: 1•References: 26

    The rise in human life expectancy has involved declines in intrinsic and extrinsic mortality processes associated, respectively, with senescence and environmental challenges. To better understand the factors driving this rise, we apply a two-process 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 (EL…

  • Mortality Increase in Late-Middle and Early-Old Age

    Open Access•Ting Li, Y C Yang et al.•ARTICLE•Demography•2013•Cited by: 6•References: 59

    Deviations from the Gompertz law of exponential mortality increases in late-middle and early-old age are commonly neglected in overall mortality analyses. In this study, we examined mortality increase patterns between ages 40 and 85 in 16 low-mortality countries and demonstrated sex differences in these patterns, which also changed across period and cohort. These results suggest that the interaction between aging and death is more complicated tha…

  • Shaping human mortality patterns through intrinsic and extrinsic vitality processes

    Open Access•Ting Li, James Anderson et al.•ARTICLE•Demographic Research•2013•Cited by: 6•References: 47

    While historical declines in human mortality are clearly shaped by lifestyle and environmental improvements, modeling patterns is difficult because intrinsic and extrinsic processes shape mortality through complex stochastic interactions

  • The Strehler-Mildvan correlation from the perspective of a two-process vitality model

    Ting Li, James J Anderson•ARTICLE•Population Studies•2015•Cited by: 2•References: 41

    The Strehler and Mildvan (SM) general theory of ageing and mortality provides a mechanism-based explanation of Gompertz's law and predicts a log-linear relationship between the two Gompertz coefficients, known as the SM correlation. While the SM correlation is supported by data from developed countries before the second half of the twentieth century, the recent breakdown of the correlation pattern in these countries has prompted demographers to c…

  • Quantifying Intrinsic and Extrinsic Contributions to Human Longevity

    Open Access•David J Sharrow, David Sharrow et al.•ARTICLE•Demography•2016•Cited by: 1•References: 26

    The rise in human life expectancy has involved declines in intrinsic and extrinsic mortality processes associated, respectively, with senescence and environmental challenges. To better understand the factors driving this rise, we apply a two-process 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 (EL…

Demography (4 works) · Global Health Care Issues (4 works) · Insurance, Mortality, Demography, Risk Management (4 works) · Health disparities and outcomes (3 works) · Sociology (3 works) · Vitality (3 works) · Biology (2 works) · Demography (2 works) · Gompertz function (2 works) · Mathematics (2 works)

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