Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Direct Standardization× | Анализ таблиц смертности× | |
|---|---|---|
| Область | Демография | Демография |
| Семейство≠ | Process / pipeline | Survival analysis |
| Год появления≠ | 2001 | 1984 |
| Автор метода≠ | Classical demographic method (formalized by Preston, Heuveline & Guillot) | Demographic/actuarial tradition; Chiang |
| Тип≠ | Rate adjustment by reweighting to a standard population | Age-structured mortality estimator |
| Основополагающий источник≠ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512 | Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2 |
| Другие названия | Directly standardized rate, Age-standardized rate, Direct method of standardization, Doğrudan Standardizasyon | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu |
| Связанные≠ | 4 | 3 |
| Сводка≠ | 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. | A life table is a systematic, age-structured summary of the mortality experience of a population. It traces a hypothetical cohort of births — conventionally 100,000 — through successive age intervals, recording how many survive, how many die, and how many person-years are lived at each interval. The method was formalized in its modern probabilistic form by Chiang (1984), synthesizing centuries of actuarial and demographic practice into a rigorous statistical framework applicable to human and biological populations alike. |
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