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Why Cohort Analysis!

Datos Bibliográficos

ID23637248
AutoresYang Yang (0000-0002-3705-7612), K C Land (0000-0002-9551-7314)
Año2016
Páginas7-13
Fecha de publicación2016-04-19
Peer ReviewedSí
Open AccessSí
TipoCHAPTER
RevistaAge-Period-Cohort Analysis (SOURCE_BOOK)
EditorialChapman and Hall/CRC (PUBLISHER)
DOI10.1201/b13902-2
OpenAlexW3081298248
ISBN9780429096204
IdiomaEN
Referencias citadas1

The usefulness of cohort analysis demonstrated by the early studies and the convenience of using simple indicators that are widely available in many kinds of data facilitated the quick spread of cohort analysis in demography and epidemiology. The applicability of Age-period-cohort (APC) analysis relies on the substantive importance of cohort influences. APC analysis is, in this sense, synonymous with cohort analysis. Studies of aging use cohort analysis to assess changes in individual outcomes in relation to aging within or across birth cohorts. Sociological theories of aging and the life course emphasize that the way individual lives unfold with age is largely shaped by social historical context. Because the objective of cohort analysis is to identify the source of variations attributable to birth cohort, it is imperative first to distinguish cohort from potential confounding factors, including age and period. Cohort analysis aims at distinguishing age, period, and cohort effects and is theoretically important in different ways.

Cohort · Birth, Development, and Health · Computer Science · Health disparities and outcomes · Health, Environment, Cognitive Aging · Internal Medicine · Medicine

  • In utero programming of chronic disease

    D J P Barker•Clinical Science•1998

Velocidad de citaciónhistorical
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