Usporedite metode

	Prospektivna kohortna studija slučaja i kontrole	Ugniježđena studija slučajeva i kontrola
Područje	Epidemiologija	Epidemiologija
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	1970s–1990s (formalized alongside nested case-control methods)	1973–1977
Tvorac	Evolved from classical retrospective case-control methodology; prospective embedding attributed to modern epidemiological practice (Rothman, Greenland, and others, late 20th century)	Nathan Mantel (1973); D. C. Thomas (1977 formalization)
Vrsta	Observational analytic study design	Hybrid observational study design
Temeljni izvor	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	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.
Drugi nazivi	prospective case-control design, ambidirectional case-control, bidirectional case-control, nested case-control (prospective variant)	NCC study, nested CC design, case-control within cohort, density sampling case-control
Srodne	6	6
Sažetak	A prospective case-control study embeds the case-control logic within a defined cohort followed forward in time. Cases are identified as they occur, rather than looked up in records after the fact, and controls are sampled from the same prospectively monitored base population. This forward-looking approach allows collection of exposure data before outcome ascertainment, reducing recall bias — the principal weakness of the classic retrospective case-control design — while retaining the efficiency gains of sampling controls rather than enrolling a full cohort.	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.