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| Bayes-féle, beágyazott eset-kontroll vizsgálat× | Beágyazott eset-kontroll vizsgálat× | |
|---|---|---|
| Tudományterület | Epidemiológia | Epidemiológia |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 1977 (nested case-control); Bayesian adaptation developed through 1990s–2010s | 1973–1977 |
| Megalkotó≠ | Nested case-control: D. C. Thomas (1977); Bayesian extension: various authors in biostatistics | Nathan Mantel (1973); D. C. Thomas (1977 formalization) |
| Típus≠ | Observational analytical study design with Bayesian inference | Hybrid observational study design |
| Alapmű | 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 ↗ | 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 ↗ |
| Alternatív nevek≠ | Bayesian NCC, Bayesian nested case-referent study, Bayesian sampled case-control within cohort | NCC study, nested CC design, case-control within cohort, density sampling case-control |
| Kapcsolódó≠ | 5 | 6 |
| Összefoglaló≠ | A Bayesian nested case-control study embeds a case-control sampling scheme within a defined prospective cohort and then estimates exposure-outcome associations using Bayesian inference. Cases are individuals in the cohort who develop the outcome of interest; controls are sampled from the risk set at the time each case is identified. The Bayesian framework allows incorporation of prior knowledge — from earlier studies, expert opinion, or biological plausibility — and produces full posterior distributions for effect estimates rather than single-point estimates with confidence intervals. | 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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