Comparer des méthodes

	Évaluation de tests de dépistage appariés	Étude cas-témoins appariée
Domaine	Épidémiologie	Épidémiologie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1980s–2000s (formalized alongside diagnostic accuracy methodology)	1950s–1970s
Auteur d'origine	Methodological synthesis from matched case-control and diagnostic accuracy traditions (Pepe, Zhou, and others)	Brian MacMahon and others; systematised by Schlesselman (1982)
Type	Observational diagnostic study with matched design	Observational analytic design
Source fondatrice	Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. ISBN: 978-0198509844	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474
Alias	matched diagnostic accuracy study, paired screening evaluation, matched-pair test performance study, matched screening assessment	matched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design
Apparentées	6	5
Résumé	Matched screening test evaluation assesses the sensitivity, specificity, and predictive values of a screening or diagnostic test using a matched design, in which disease-positive cases are paired with one or more disease-free controls selected to share key characteristics such as age, sex, or clinical setting. Matching controls for confounders before measuring test performance produces more precise and less biased estimates of diagnostic accuracy, and enables direct paired comparisons of competing tests within the same subjects.	A matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure history is then compared between cases and their matched controls to estimate the odds ratio of the exposure-disease association.