Literature DB >> 34918737

In a Stationary Population, the Average Lifespan of the Living Is a Length-Biased Life Expectancy.

Elizabeth Wrigley-Field1, Dennis Feehan2.   

Abstract

What is the average lifespan in a stationary population viewed at a single moment in time? Even though periods and cohorts are identical in a stationary population, we show that the answer to this question is not life expectancy but a length-biased version of life expectancy. That is, the distribution of lifespans of the people alive at a single moment is a self-weighted distribution of cohort lifespans, such that longer lifespans have proportionally greater representation. One implication is that if death rates are unchanging, the average lifespan of the current population always exceeds period life expectancy. This result connects stationary population lifespan measures to a well-developed body of statistical results; provides new intuition for established demographic results; generates new insights into the relationship between periods, cohorts, and prevalent cohorts; and offers a framework for thinking about mortality selection more broadly than the concept of demographic frailty.
Copyright © 2021 The Authors.

Entities:  

Keywords:  Length-biased sampling; Life expectancy; Mortality selection; Prevalent cohort; Size bias

Mesh:

Year:  2022        PMID: 34918737      PMCID: PMC8810607          DOI: 10.1215/00703370-9639692

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  20 in total

1.  Demographic window to aging in the wild: constructing life tables and estimating survival functions from marked individuals of unknown age.

Authors:  Hans-Georg Müller; Jane-Ling Wang; James R Carey; Edward P Caswell-Chen; Carl Chen; Nikos Papadopoulos; Fang Yao
Journal:  Aging Cell       Date:  2004-06       Impact factor: 9.304

2.  Neutral theory for life histories and individual variability in fitness components.

Authors:  Ulrich Karl Steiner; Shripad Tuljapurkar
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-05       Impact factor: 11.205

3.  Checking stationarity of the incidence rate using prevalent cohort survival data.

Authors:  Masoud Asgharian; David B Wolfson; Xun Zhang
Journal:  Stat Med       Date:  2006-05-30       Impact factor: 2.373

4.  On prevalence, incidence, and duration in general stable populations.

Authors:  J M Alho
Journal:  Biometrics       Date:  1992-06       Impact factor: 2.571

5.  Survival and aging in the wild via residual demography.

Authors:  Hans-Georg Müller; Jane-Ling Wang; Wei Yu; Aurore Delaigle; James R Carey
Journal:  Theor Popul Biol       Date:  2007-07-28       Impact factor: 1.570

6.  The force of mortality by life lived is the force of increment by life left in stationary populations.

Authors:  Tim Riffe
Journal:  Demogr Res       Date:  2015-06

7.  PROSPECTIVE VERSUS RETROSPECTIVE APPROACHES TO THE STUDY OF INTERGENERATIONAL SOCIAL MOBILITY.

Authors:  X I Song; Robert D Mare
Journal:  Sociol Methods Res       Date:  2014-12-01

8.  A statistical trap associated with family size.

Authors:  B Bytheway
Journal:  J Biosoc Sci       Date:  1974

9.  A method to visualize and adjust for selection bias in prevalent cohort studies.

Authors:  Anna Törner; Paul Dickman; Ann-Sofi Duberg; Sigurdur Kristinsson; Ola Landgren; Magnus Björkholm; Åke Svensson
Journal:  Am J Epidemiol       Date:  2011-09-13       Impact factor: 4.897

10.  How do populations aggregate?

Authors:  Dennis M Feehan; Elizabeth Wrigley-Field
Journal:  Demogr Res       Date:  2021-02-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.