Porovnať metódy

	Adaptívna vnoorená prípadovo-kontrolná štúdia	Prípadová štúdia s vnorenou kontrolnou skupinou
Odbor	Epidemiológia	Epidemiológia
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	Base design 1977; adaptive extensions from 1990s onward	1973–1977
Tvorca	Nested case-control: D. C. Thomas (1977); adaptive design framework: Peter Bauer & Klaus Kohne (1994)	Nathan Mantel (1973); D. C. Thomas (1977 formalization)
Typ	Observational epidemiological study with adaptive design elements	Hybrid observational study design
Pôvodný zdroj	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.	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.
Ďalšie názvy	adaptive NCC, adaptive nested case-referent study, dynamic nested case-control, sequential nested case-control	NCC study, nested CC design, case-control within cohort, density sampling case-control
Príbuzné	6	6
Zhrnutie	An adaptive nested case-control study embeds a case-control comparison within a defined cohort and incorporates pre-specified interim decision rules that allow modifications — such as control-to-case ratio adjustment or biomarker sub-sampling revision — based on accumulating data, without compromising the study's validity or inflating type I error. The design combines the efficiency of the nested case-control framework with the flexibility of adaptive methodology to optimise resource use when exposure assessment is costly.	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.