Сравнение методов

	Direct Standardization	Total Fertility Rate
Область	Демография	Демография
Семейство	Process / pipeline	Process / pipeline
Год появления	2001	2001
Автор метода	Classical demographic method (formalized by Preston, Heuveline & Guillot)	Classical demographic index (formalized by Preston, Heuveline & Guillot)
Тип	Rate adjustment by reweighting to a standard population	Period summary fertility index synthesizing age-specific fertility rates
Основополагающий источник	Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512	Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512
Другие названия	Directly standardized rate, Age-standardized rate, Direct method of standardization, Doğrudan Standardizasyon	TFR, Period total fertility rate, Sum of age-specific fertility rates, Toplam Doğurganlık Hızı
Связанные	4	4
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.	The total fertility rate (TFR) is the central period measure of fertility in demography: the average number of children a woman would bear over her lifetime if she experienced, at each age, the age-specific fertility rates observed in a given year. Computed by summing age-specific fertility rates across the reproductive ages, the TFR removes the influence of population age structure and gives a single, intuitive figure — children per woman — that is comparable across populations and over time.