Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Studiu multicentric caz-control× | Studiu caz-control cu perechi (Matched Case-Control Study)× | |
|---|---|---|
| Domeniu | Epidemiologie | Epidemiologie |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | Mid-20th century; multicenter framework formalised 1970s–1980s | 1950s–1970s |
| Autorul original≠ | Epidemiology convention; seminal statistical framework by Breslow & Day (IARC, 1980) | Brian MacMahon and others; systematised by Schlesselman (1982) |
| Tip≠ | Observational analytical epidemiological design | Observational analytic design |
| Sursa seminală≠ | Breslow, N. E., & Day, N. E. (1980). Statistical Methods in Cancer Research. Volume I: The Analysis of Case-Control Studies. IARC Scientific Publications No. 32. International Agency for Research on Cancer, Lyon. ISBN: 978-9283211327 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474 |
| Denumiri alternative | multisite case-control study, collaborative case-control study, pooled case-control study, multi-institutional case-control study | matched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | A multicenter case-control study is an observational design that identifies individuals who have developed a disease (cases) and disease-free comparators (controls) across two or more study sites simultaneously. By pooling recruitment across hospitals, clinics, or geographic regions, the design achieves larger sample sizes, captures exposure variability over broader populations, and improves the statistical power needed to detect modest odds ratios for rare or heterogeneous diseases. | 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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