Σύγκριση μεθόδων

	Σχεδιασμός Case-Crossover	Μελέτη Περίπτωσης-Ελέγχου	Μελέτη "φωλιασμένης" περίπτωσης-μάρτυρα
Πεδίο	Επιδημιολογία	Επιδημιολογία	Επιδημιολογία
Οικογένεια	Process / pipeline	Process / pipeline	Process / pipeline
Έτος προέλευσης	1991	1950s (formal methodology); precursors in the 1920s	1973–1977
Δημιουργός	Malcolm Maclure	Janet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960s	Nathan Mantel (1973); D. C. Thomas (1977 formalization)
Τύπος	Observational epidemiological study design	Observational analytic study design	Hybrid observational study design
Θεμελιώδης πηγή	Maclure, M. (1991). The case-crossover design: A method for studying transient effects on the risk of acute events. American Journal of Epidemiology, 133(2), 144–153.	Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860	Thomas, D. C. (1977). Addendum to: Methods of cohort analysis: Appraisal by application to asbestos mining. Journal of the Royal Statistical Society, Series A, 140(4), 469–491.
Εναλλακτικές ονομασίες	case-crossover study, CCO design, self-matched case study, within-person crossover case study	case-referent study, case-control design, retrospective case-control, case-control analysis	NCC study, nested CC design, case-control within cohort, density sampling case-control
Συναφείς	3	6	6
Σύνοψη	The case-crossover design is an observational epidemiological method that estimates whether a transient exposure triggers an acute event by comparing each case's exposure during a brief hazard window immediately before the event to their own exposure during earlier control periods. Because each person serves as their own control, all stable personal characteristics are automatically adjusted for, making the design especially powerful for studying intermittent exposures and sudden-onset outcomes such as myocardial infarction, stroke, or injury.	A case-control study is a retrospective observational design in which individuals who have developed a disease or outcome of interest (cases) are compared with individuals who have not (controls) to determine whether prior exposure to a putative risk factor differs between the two groups. The primary measure of association is the odds ratio, which approximates the relative risk when the outcome is rare. Case-control studies are especially efficient for investigating rare diseases and generating etiological hypotheses.	A nested case-control study is an efficient observational design embedded within a defined cohort. For each participant who develops the outcome of interest (a case), a small number of matched controls are sampled from those still at risk at the same point in time. This density-sampling strategy yields odds ratios that approximate incidence-rate ratios from the full cohort at a fraction of the data-collection cost — making it the preferred alternative when measuring exposures for all cohort members would be prohibitively expensive or technically demanding.