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| Standardized Mortality Ratio× | Kitagawa Decomposition× | |
|---|---|---|
| Oblast | Demografija | Demografija |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 1987 | 1955 |
| Tvorac≠ | Classical vital-statistics method (formalized by Breslow & Day) | Evelyn M. Kitagawa |
| Tip≠ | Ratio of observed to expected deaths under a standard rate schedule | Arithmetic decomposition of a difference between two summary rates |
| Temeljni izvor≠ | 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 ↗ |
| Drugi nazivi≠ | SMR, Standardised Mortality Ratio, Indirectly Standardized Mortality Ratio | Components-of-difference method, Rate decomposition, Standardization decomposition, Kitagawa Ayrıştırması |
| Srodne | 4 | 4 |
| Sažetak≠ | The standardized mortality ratio (SMR) compares the number of deaths actually observed in a study population with the number that would be expected if that population had experienced a standard set of age-specific death rates. It is the central output of indirect standardization: a single ratio, usually multiplied by 100, that says whether a group's mortality is higher or lower than a reference after accounting for its age structure. Because it needs only the study group's age distribution and total deaths — not stable age-specific rates within the group — the SMR is the method of choice when the group is small or its age-specific deaths are sparse. | 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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