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| Meta-analitička studija slučajeva i kontrola× | Studija slučaja i kontrole× | |
|---|---|---|
| Oblast | Epidemiologija | Epidemiologija |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 1980s–2000 (formalized with MOOSE reporting guidelines in 2000) | 1950s (formal methodology); precursors in the 1920s |
| Tvorac≠ | Systematic development attributed to multiple epidemiologists; MOOSE guidelines formalized by Stroup et al. | Janet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960s |
| Tip≠ | Observational study synthesis | Observational analytic study design |
| Temeljni izvor≠ | Shapiro, S. (1994). Meta-analysis/Shmeta-analysis. American Journal of Epidemiology, 140(9), 771-778. DOI ↗ | Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860 |
| Drugi nazivi | pooled case-control analysis, case-control meta-analysis, meta-analytic case-control design, systematic pooled case-control | case-referent study, case-control design, retrospective case-control, case-control analysis |
| Srodne≠ | 4 | 6 |
| Sažetak≠ | A meta-analytic case-control study systematically identifies, critically appraises, and quantitatively synthesizes data from multiple independent case-control studies examining the same exposure-disease relationship. By pooling odds ratios across studies, it yields a more precise and generalizable estimate of association than any single study can provide, while formally quantifying heterogeneity across populations, settings, and study periods. | 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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