Comparer des méthodes

	Analyse de la relation dose-réponse dans des données appariées	Étude de cohorte
Domaine	Épidémiologie	Épidémiologie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1970s–1980s	Mid-20th century (formal epidemiological design codified ~1950s)
Auteur d'origine	Developed within the matched case-control framework; formalized by Breslow and Day (1980) and Rothman and colleagues	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
Type	Analytical epidemiological method	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	matched trend analysis, dose-response in matched designs, exposure-response analysis with matching, matched exposure-gradient analysis	longitudinal study, follow-up study, panel study, incidence study
Apparentées	4	6
Résumé	Matched dose-response analysis evaluates whether increasing levels of exposure are associated with proportionally increasing (or decreasing) risk of an outcome, within a study where cases and controls — or exposed and unexposed individuals — have been deliberately matched on key confounders such as age, sex, or study site. Matching controls residual confounding structurally, while the dose-response component tests whether the exposure-outcome relationship follows a biologically plausible gradient, strengthening causal inference.	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.