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| Age-Period-Cohort Model× | Direct Standardization× | |
|---|---|---|
| Dziedzina | Demografia | Demografia |
| Rodzina≠ | Regression model | Process / pipeline |
| Rok powstania≠ | 1983 | 2001 |
| Twórca≠ | Theodore R. Holford (modern estimable-function formulation) | Classical demographic method (formalized by Preston, Heuveline & Guillot) |
| Typ≠ | Regression decomposition of rates into age, period and cohort effects | Rate adjustment by reweighting to a standard population |
| Źródło pierwotne≠ | Holford, T. R. (1983). The estimation of age, period and cohort effects for vital rates. Biometrics, 39(2), 311–324. DOI ↗ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512 |
| Inne nazwy≠ | APC Model, Age-Period-Cohort Analysis, Holford APC Model | Directly standardized rate, Age-standardized rate, Direct method of standardization, Doğrudan Standardizasyon |
| Pokrewne | 4 | 4 |
| Podsumowanie≠ | The age-period-cohort (APC) model decomposes variation in a vital rate — mortality, incidence, fertility — into three temporal dimensions: the age of individuals, the calendar period of observation, and the birth cohort to which they belong. It is the standard framework for asking whether a trend reflects how risk changes with age, contemporaneous period influences affecting all ages at once, or generational effects carried by successive cohorts. Its defining technical challenge is that cohort equals period minus age, an exact linear dependence that makes the three sets of linear effects unidentifiable without further assumptions; Holford's 1983 formulation clarified exactly which quantities can and cannot be estimated. | Direct standardization is a demographic technique that makes summary rates comparable across populations by applying each population's group-specific rates — most often age-specific death or disease rates — to a single, common standard population structure. The resulting directly standardized rate answers a counterfactual question: what would the crude rate be if every population had the same age (or other) composition? It removes the confounding effect of differing population structure so that genuine differences in underlying risk can be compared on a level footing. |
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