विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| बहुकेंद्रीय केस-कंट्रोल अध्ययन× | मिलानित केस-कंट्रोल अध्ययन× | |
|---|---|---|
| क्षेत्र | महामारी विज्ञान | महामारी विज्ञान |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | Mid-20th century; multicenter framework formalised 1970s–1980s | 1950s–1970s |
| प्रवर्तक≠ | Epidemiology convention; seminal statistical framework by Breslow & Day (IARC, 1980) | Brian MacMahon and others; systematised by Schlesselman (1982) |
| प्रकार≠ | Observational analytical epidemiological design | Observational analytic design |
| मौलिक स्रोत≠ | 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 |
| उपनाम | 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 |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | 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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