Linganisha mbinu

	Utafiti wa Kesi-Udhibiti Uliojengwa kwa Vitendo	Utafiti Uliojengwa wa Kesi-Udhibiti
Nyanja	Epidemiolojia	Epidemiolojia
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1977 (nested case-control); pragmatic variant emerged in real-world evidence research from 1990s onwards	1973–1977
Mwanzilishi	Duncan Thomas (nested case-control); pragmatic design concept from Schwartz & Lellouch (1967)	Nathan Mantel (1973); D. C. Thomas (1977 formalization)
Aina	Observational epidemiological study design	Hybrid observational study design
Chanzo asilia	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.
Majina mbadala	real-world nested case-control, pragmatic NCC, nested case-control in routine data, real-world evidence nested case-control	NCC study, nested CC design, case-control within cohort, density sampling case-control
Zinazohusiana	5	6
Muhtasari	A pragmatic nested case-control study embeds a case-control analysis within a pre-existing real-world cohort — typically drawn from electronic health records, administrative claims, or disease registries — to examine associations between exposures and outcomes under routine clinical conditions. Controls are sampled from the risk set (those still at risk at the time each case occurs), preserving temporal sequence while dramatically reducing data-collection costs compared with a full cohort analysis.	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.