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중첩 환자-대조군 연구×전향적 코호트 연구×
분야역학역학
계열Process / pipelineProcess / pipeline
기원 연도1973–19771950s (systematic application); conceptual roots earlier
창시자Nathan Mantel (1973); D. C. Thomas (1977 formalization)Richard Doll and Austin Bradford Hill (landmark application, 1951-1954); cohort methodology formalised by modern epidemiology textbooks
유형Hybrid observational study designObservational longitudinal study design
원전Thomas, 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 ↗Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
별칭NCC study, nested CC design, case-control within cohort, density sampling case-controllongitudinal cohort study, prospective follow-up study, incidence study, prospective observational cohort
관련66
요약A 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.A prospective cohort study assembles a group of participants who are free of the outcome of interest at baseline, measures their exposures, and then follows them forward in time to record who develops the outcome. By collecting exposure data before outcomes occur, it establishes a clear temporal sequence that supports causal inference — a major advantage over retrospective designs. It is the cornerstone observational method in epidemiology and clinical research.
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ScholarGate방법 비교: Nested case-control · Prospective Cohort Study. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare