เปรียบเทียบวิธี

	Das Gupta Decomposition	Indirect Standardization
สาขาวิชา	ประชากรศาสตร์	ประชากรศาสตร์
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1993	2001
ผู้ริเริ่ม	Prithwis Das Gupta	Classical demographic method (formalized by Preston, Heuveline & Guillot)
ประเภท	Multi-factor, multi-population decomposition of a difference between rates	Rate adjustment using a standard schedule of group-specific rates
แหล่งต้นตำรับ	Das Gupta, P. (1993). Standardization and Decomposition of Rates: A User's Manual. U.S. Bureau of the Census, Current Population Reports P23-186.	Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512
ชื่อเรียกอื่น	Das Gupta's method, Multi-factor rate decomposition, Standardization and decomposition of rates, Das Gupta Ayrıştırması	Indirect method of standardization, Standardized mortality ratio, SMR method, Dolaylı Standardizasyon
ที่เกี่ยวข้อง	4	4
สรุป	Das Gupta decomposition is the general framework for standardizing and decomposing a difference between summary rates when several factors act at once and more than two populations must be compared. Developed by Prithwis Das Gupta and codified in his 1993 U.S. Census Bureau manual, it generalizes Kitagawa's two-population, single-factor decomposition to any number of multiplicatively or additively combined factors and any number of populations, producing factor effects that are exactly additive, symmetric, and internally consistent across every pairwise comparison.	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.