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| Meta-analytisk case-kontrolstudie× | Indlejret case-kontrol-studie× | |
|---|---|---|
| Fagområde | Epidemiologi | Epidemiologi |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 1980s–2000 (formalized with MOOSE reporting guidelines in 2000) | 1973–1977 |
| Ophavsperson≠ | Systematic development attributed to multiple epidemiologists; MOOSE guidelines formalized by Stroup et al. | Nathan Mantel (1973); D. C. Thomas (1977 formalization) |
| Type≠ | Observational study synthesis | Hybrid observational study design |
| Oprindelig kilde≠ | Shapiro, S. (1994). Meta-analysis/Shmeta-analysis. American Journal of Epidemiology, 140(9), 771-778. DOI ↗ | Thomas, D. C. (1977). Addendum to: Methods of cohort analysis: Appraisal by application to asbestos mining. Journal of the Royal Statistical Society, Series A, 140(4), 469–491. link ↗ |
| Aliasser | pooled case-control analysis, case-control meta-analysis, meta-analytic case-control design, systematic pooled case-control | NCC study, nested CC design, case-control within cohort, density sampling case-control |
| Relaterede≠ | 4 | 6 |
| Resumé≠ | 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 nested case-control study is an efficient observational design embedded within a defined cohort. For each participant who develops the outcome of interest (a case), a small number of matched controls are sampled from those still at risk at the same point in time. This density-sampling strategy yields odds ratios that approximate incidence-rate ratios from the full cohort at a fraction of the data-collection cost — making it the preferred alternative when measuring exposures for all cohort members would be prohibitively expensive or technically demanding. |
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