Literature DB >> 12267300

Heterogeneity's ruses: some surprising effects of selection on population dynamics.

J W Vaupel, A I Yashin.   

Abstract

"As a cohort of people, animals, or machines ages, the individuals at highest risk tend to die or exit first. This differential selection can produce patterns of mortality for the population as a whole that are surprisingly different from the patterns for subpopulations or individuals. Naive acceptance of observed population patterns may lead to erroneous policy recommendations if an intervention depends on the response of individuals. Furthermore, because patterns at the individual level may be simpler than composite population patterns, both theoretical and empirical research may be unnecessarily complicated by failure to recognize the effects of heterogeneity." excerpt

Entities:  

Keywords:  Cohort Analysis; Demographic Factors; Differential Mortality; Length Of Life; Mortality; Policy; Population; Population At Risk; Population Dynamics; Population Policy; Research Methodology; Statistical Studies; Survivorship

Mesh:

Year:  1985        PMID: 12267300

Source DB:  PubMed          Journal:  Am Stat        ISSN: 0003-1305            Impact factor:   8.710


  167 in total

1.  Genes, demography, and life span: the contribution of demographic data in genetic studies on aging and longevity.

Authors:  A I Yashin; G De Benedictis; J W Vaupel; Q Tan; K F Andreev; I A Iachine; M Bonafe; M DeLuca; S Valensin; L Carotenuto; C Franceschi
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

2.  Reconsidering mortality compression and deceleration: an alterative model of mortality rates.

Authors:  S M Lynch; J S Brown
Journal:  Demography       Date:  2001-02

3.  Discrete duration models combining dynamic and random effects.

Authors:  C Biller
Journal:  Lifetime Data Anal       Date:  2000-12       Impact factor: 1.588

4.  Toward reconciling inferences concerning genetic variation in senescence in Drosophila melanogaster.

Authors:  F H Shaw; D E Promislow; M Tatar; K A Hughes; C J Geyer
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

5.  Female age and sperm competition: last-male precedence declines as female age increases.

Authors:  Paul D Mack; Nicholas K Priest; Daniel E L Promislow
Journal:  Proc Biol Sci       Date:  2003-01-22       Impact factor: 5.349

6.  Pathogen frequency in an age-structured population of Plantago lanceolata.

Authors:  Jeffry L Dudycha; Deborah A Roach
Journal:  Oecologia       Date:  2003-04-10       Impact factor: 3.225

Review 7.  Cohort and life-course patterns in the relationship between education and health: a hierarchical approach.

Authors:  Scott M Lynch
Journal:  Demography       Date:  2003-05

8.  Aging. It's never too late.

Authors:  James W Vaupel; James R Carey; Kaare Christensen
Journal:  Science       Date:  2003-09-19       Impact factor: 47.728

9.  Modeling event times with multiple outcomes using the Wiener process with drift.

Authors:  Julie Horrocks; Mary E Thompson
Journal:  Lifetime Data Anal       Date:  2004-03       Impact factor: 1.588

10.  Heterogeneity and selection in multistate population analysis.

Authors:  A Rogers
Journal:  Demography       Date:  1992-02
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