Mortality at Extreme Ages and Data Quality: The Canadian Experience

Bourbeau, Robert; Desjardins, Bertrand

doi:10.1007/978-1-4020-4848-7_8

Cited by 4 publications

(1 citation statement)

References 22 publications

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“…For example, sparse death counts and the highest mortality rates mostly occur in the last age interval, which lead to elevated statistical variability. Data quality issues in population counts (Bourbeau and Desjardins 2007;Bourbeau and Lebel 2000;Coale and Kisker 1990;Wilmoth and Lundstrom 1996) and heterogeneity or frailty in mortality rates (Bebbington, Lai, and Zitikis 2011;Ting, Yang, and Anderson 2013;Vaupel, Manton, and Stallard 1979) could drive further increases in the variance contribution of the last age interval. There is therefore a general need to quantify and examine the variance contribution of the last age interval under different possible variance models of its corresponding demographic data, which has not previously been done.…”

Section: Introductionmentioning

confidence: 99%

Variance models of the last age interval and their impact on life expectancy at subnational scales

Vatnik²,

Benedetti

et al. 2016

DemRes

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Section: Introductionmentioning

confidence: 99%

Variance models of the last age interval and their impact on life expectancy at subnational scales

Vatnik²,

Benedetti

et al. 2016

DemRes

Self Cite

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Research Issues on Human Longevity

Robine

2007

Human Longevity, Individual Life Duration, and the Growth of the Oldest-Old Population

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Beyond One Hundred: A Cohort Analysis of Italian Centenarians and Semisupercentenarians

Caselli

Battaglini

Capacci

2018

The Journals of Gerontology: Series B

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Although the increase in the number of centenarians is well documented today in countries with advanced demographic data, the same is not true for those aged 105 and over. The first aim of this paper, was to analyze the demographic characteristics of the 4,626 validated semi-super and 102 supercentenarians for the cohorts born between 1896 and 1910, referring to Italian Semi-Supercentenarians Survey (SSC). Then, starting from this data and from the survival  histories  in old ages - reconstructed by Vincent's Extinct - Cohort Method - for the cohorts born between 1870 and 1904, the most important aim was to analyze longevity history and the trend of gender gap of the Italian oldest cohorts beyond 100 years old.  The Italian centenarians and semi-supercentenarians increase from the first to the last cohort is due to the survival rise in old ages and the increase in the gender gap at extreme ages depends on the higher survival of women than men after 60 years old. Around 110-112 for both genders (for women in particular) a kind of resistance to further progress seems to appear in our analysis as in more recent studies on supercentenarians.

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Mortality at Extreme Ages and Data Quality: The Canadian Experience

Cited by 4 publications

References 22 publications

Variance models of the last age interval and their impact on life expectancy at subnational scales

Variance models of the last age interval and their impact on life expectancy at subnational scales

Research Issues on Human Longevity

Beyond One Hundred: A Cohort Analysis of Italian Centenarians and Semisupercentenarians

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