Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Étude de cohorte avec ajustement des risques× | Étude de cohorte× | |
|---|---|---|
| Domaine | Épidémiologie | Épidémiologie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | Mid–late 20th century (risk-adjusted cohort designs systematized by 1970s–1990s) | Mid-20th century (formal epidemiological design codified ~1950s) |
| Auteur d'origine≠ | Evolution of cohort study methodology; risk adjustment formalized through work of Rothman, Greenland, and others in epidemiology, 20th century | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Type≠ | Observational epidemiological study design with statistical confounding control | Observational longitudinal study design |
| Source fondatrice | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Alias | adjusted cohort study, covariate-adjusted cohort, risk-controlled prospective study, propensity-adjusted cohort | longitudinal study, follow-up study, panel study, incidence study |
| Apparentées≠ | 4 | 6 |
| Résumé≠ | 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. | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. |
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