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Dopasowany projekt przypadkowo-krzyżowy×Badanie dopasowane typu przypadek-kontrola×
DziedzinaEpidemiologiaEpidemiologia
RodzinaProcess / pipelineProcess / pipeline
Rok powstania1991 (base design); matched variant refined ~1998–20001950s–1970s
TwórcaMalcolm Maclure (case-crossover); time-matched variant developed by Navidi (1998) and Lumley & Levy (2000)Brian MacMahon and others; systematised by Schlesselman (1982)
TypObservational epidemiological designObservational analytic design
Źródło pierwotneMaclure, 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. DOI ↗Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474
Inne nazwymatched case-crossover study, time-matched case-crossover, bidirectional case-crossover, symmetric bidirectional designmatched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design
Pokrewne35
PodsumowanieThe matched case-crossover design is a self-controlled observational study in which each case serves as its own control. A short hazard window immediately before the acute event is compared with one or more matched control windows — selected to have the same day of week, season, or other time-varying covariate — making the design robust to stable individual confounders and calendar-time trends simultaneously.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.
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ScholarGatePorównaj metody: Matched Case-Crossover Design · Matched case-control study. Pobrano 2026-06-17 z https://scholargate.app/pl/compare