Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Das Gupta Decomposition× | Indirect Standardization× | |
|---|---|---|
| Vakgebied | Demografie | Demografie |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 1993 | 2001 |
| Grondlegger≠ | Prithwis Das Gupta | Classical demographic method (formalized by Preston, Heuveline & Guillot) |
| Type≠ | Multi-factor, multi-population decomposition of a difference between rates | Rate adjustment using a standard schedule of group-specific rates |
| Oorspronkelijke bron≠ | Das Gupta, P. (1993). Standardization and Decomposition of Rates: A User's Manual. U.S. Bureau of the Census, Current Population Reports P23-186. link ↗ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512 |
| Aliassen | 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 |
| Verwant | 4 | 4 |
| Samenvatting≠ | 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. |
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