Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Arriaga Decomposition× | Direct Standardization× | |
|---|---|---|
| Област | Демография | Демография |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1984 | 2001 |
| Създател≠ | Eduardo E. Arriaga | Classical demographic method (formalized by Preston, Heuveline & Guillot) |
| Тип≠ | Age-specific decomposition of a difference in life expectancy | Rate adjustment by reweighting to a standard population |
| Основополагащ източник≠ | Arriaga, E. E. (1984). Measuring and explaining the change in life expectancies. Demography, 21(1), 83–96. DOI ↗ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512 |
| Други названия | Arriaga's method, Life-expectancy decomposition, Age decomposition of life expectancy, Arriaga Ayrıştırması | Directly standardized rate, Age-standardized rate, Direct method of standardization, Doğrudan Standardizasyon |
| Свързани | 4 | 4 |
| Резюме≠ | Arriaga decomposition is a demographic technique that breaks down the difference in life expectancy between two life tables — two countries, two time points, or two groups — into the contributions of mortality change at each age. Introduced by Eduardo Arriaga in 1984, it tells the analyst not just that life expectancy rose or fell, but exactly which ages drove the change, separating the direct effect of mortality change within an age interval from the indirect effect of the extra survivors that change passes on to older ages. | 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. |
| ScholarGateНабор от данни ↗ |
|
|