Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Indirect Standardization× | Kitagawa Decomposition× | |
|---|---|---|
| Valdkond | Demograafia | Demograafia |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 2001 | 1955 |
| Looja≠ | Classical demographic method (formalized by Preston, Heuveline & Guillot) | Evelyn M. Kitagawa |
| Tüüp≠ | Rate adjustment using a standard schedule of group-specific rates | Arithmetic decomposition of a difference between two summary rates |
| Algallikas≠ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512 | Kitagawa, E. M. (1955). Components of a difference between two rates. Journal of the American Statistical Association, 50(272), 1168–1194. DOI ↗ |
| Rööpnimetused | Indirect method of standardization, Standardized mortality ratio, SMR method, Dolaylı Standardizasyon | Components-of-difference method, Rate decomposition, Standardization decomposition, Kitagawa Ayrıştırması |
| Seotud | 4 | 4 |
| Kokkuvõte≠ | Indirect standardization is a demographic technique for comparing summary rates when a study population's own group-specific rates are too sparse to be reliable. Instead of reweighting the study population's rates, it applies a trusted standard schedule of group-specific rates to the study population's own structure to compute the number of events that would be expected. The ratio of observed to expected events — the standardized mortality ratio (SMR) — measures how the study population's risk compares with the standard, adjusted for its composition. | Kitagawa decomposition is a demographic technique that splits the difference between two summary rates — such as two crude death rates, birth rates, or prevalence figures — into the part attributable to differences in the underlying group-specific rates and the part attributable to differences in population composition. Introduced by Evelyn Kitagawa in 1955, it answers whether a gap between two populations reflects genuinely different risks or merely a different age (or other) structure. |
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