Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Étude écologique appariée× | Étude de cohorte appariée× | |
|---|---|---|
| Domaine | Épidémiologie | Épidémiologie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1970s–1990s (methodological consolidation) | Mid-20th century; propensity-score variant 1983 |
| Auteur d'origine≠ | Extension of classical ecological study design; matching principles formalized in 20th-century epidemiology | Established practice; propensity-score matching formalized by Rosenbaum & Rubin (1983) |
| Type≠ | Observational study design | Observational analytic study design |
| Source fondatrice≠ | Morgenstern, H. (1998). Ecologic studies in epidemiology: Concepts, principles, and methods. Annual Review of Public Health, 16, 61–81. link ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Alias | matched ecologic study, geographically matched ecological study, area-matched ecological design, matched aggregate study | matched follow-up study, paired cohort study, propensity-matched cohort, matched prospective study |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | A matched ecological study is an observational epidemiological design in which aggregate units — such as geographic areas, communities, or time periods — are systematically paired or matched on key characteristics before comparing exposure and outcome rates. Matching at the group level controls for area-level confounders and improves comparability between exposed and unexposed units, producing more credible estimates of ecological associations than an unmatched counterpart. | A matched cohort study is an observational design in which each exposed participant is paired with one or more unexposed counterparts who share key characteristics — such as age, sex, or comorbidity status — before both groups are followed forward in time to compare incident outcomes. Matching controls for measured confounders at the design stage, reducing bias that would otherwise require statistical adjustment alone. |
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