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| Multicenter Case-Crossover Design× | Esettanulmány× | |
|---|---|---|
| Tudományterület | Epidemiológia | Epidemiológia |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 1991 (core design); multicenter extensions 1990s–2000s | 1950s (formal methodology); precursors in the 1920s |
| Megalkotó≠ | Malcolm Maclure (single-center design, 1991); multicenter applications developed through 1990s–2000s environmental and pharmacoepidemiology literature | Janet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960s |
| Típus≠ | Observational epidemiological design | Observational analytic study design |
| Alapmű≠ | 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. DOI ↗ | Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860 |
| Alternatív nevek | multi-site case-crossover study, multicenter self-matched crossover, multi-center transient exposure study, MCCO study | case-referent study, case-control design, retrospective case-control, case-control analysis |
| Kapcsolódó≠ | 4 | 6 |
| Összefoglaló≠ | The multicenter case-crossover design is an observational epidemiological method that investigates whether brief, transient exposures trigger acute health events by comparing each case's exposure just before the event to their own exposure during matched control periods — with data collected from two or more independent clinical or geographic sites to increase power, external validity, and the ability to detect site-level effect modification. | 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. |
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