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Indirect Standardization×Kitagawa Decomposition×
CampoDemografíaDemografía
FamiliaProcess / pipelineProcess / pipeline
Año de origen20011955
Autor originalClassical demographic method (formalized by Preston, Heuveline & Guillot)Evelyn M. Kitagawa
TipoRate adjustment using a standard schedule of group-specific ratesArithmetic decomposition of a difference between two summary rates
Fuente seminalPreston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512Kitagawa, E. M. (1955). Components of a difference between two rates. Journal of the American Statistical Association, 50(272), 1168–1194. DOI ↗
AliasIndirect method of standardization, Standardized mortality ratio, SMR method, Dolaylı StandardizasyonComponents-of-difference method, Rate decomposition, Standardization decomposition, Kitagawa Ayrıştırması
Relacionados44
ResumenIndirect 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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ScholarGateComparar métodos: Indirect Standardization · Kitagawa Decomposition. Recuperado el 2026-06-24 de https://scholargate.app/es/compare