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Étude écologique ajustée aux risques×Étude de cohorte avec ajustement des risques×
DomaineÉpidémiologieÉpidémiologie
FamilleProcess / pipelineProcess / pipeline
Année d'origine1980s–1990sMid–late 20th century (risk-adjusted cohort designs systematized by 1970s–1990s)
Auteur d'origineExtension of ecological study methodology; risk adjustment concepts formalized by Morgenstern (1982) and developed further in health outcomes researchEvolution of cohort study methodology; risk adjustment formalized through work of Rothman, Greenland, and others in epidemiology, 20th century
TypeObservational ecological design with statistical confounding controlObservational epidemiological study design with statistical confounding control
Source fondatriceMorgenstern, H. (1982). Uses of ecologic analysis in epidemiologic research. American Journal of Public Health, 72(12), 1336–1344. DOI ↗Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Aliasrisk-adjusted ecological analysis, confounder-adjusted ecological study, ecological regression with risk adjustment, adjusted area-level studyadjusted cohort study, covariate-adjusted cohort, risk-controlled prospective study, propensity-adjusted cohort
Apparentées44
RésuméA risk-adjusted ecological study is an observational epidemiological design that examines associations between exposures and outcomes measured at the group or area level — such as regions, hospitals, or countries — while statistically controlling for known risk factors also measured at that level. By incorporating risk adjustment through ecological regression or standardization, the design reduces (though cannot eliminate) confounding from group-level variables, enabling more valid comparisons across populations or settings.A risk-adjusted cohort study is an observational epidemiological design in which a defined group of individuals is followed over time to compare outcomes between exposed and unexposed subgroups, with statistical methods applied to control for measured confounders. Adjustment strategies — including multivariable regression, propensity score matching, inverse probability weighting, or standardization — are used to reduce bias and produce effect estimates that more closely approximate what would be observed in a randomized trial.
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ScholarGateComparer des méthodes: Risk-adjusted ecological study · Risk-adjusted cohort study. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare