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전향적 중첩 환자-대조군 연구×전향적 코호트 연구×
분야역학역학
계열Process / pipelineProcess / pipeline
기원 연도19771950s (systematic application); conceptual roots earlier
창시자D.C. Thomas (formal description); building on Mantel (1973) and Liddell, McDonald & Thomas (1977)Richard Doll and Austin Bradford Hill (landmark application, 1951-1954); cohort methodology formalised by modern epidemiology textbooks
유형Observational analytic designObservational longitudinal study design
원전Thomas, D.C. (1977). Addendum to: Methods of cohort analysis: Appraisal by application to asbestos mining. By F.D.K. Liddell, J.C. McDonald, and D.C. Thomas. 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
별칭prospective NCC, nested case-control within prospective cohort, prospective case-control within cohort, incident NCClongitudinal cohort study, prospective follow-up study, incidence study, prospective observational cohort
관련56
요약A prospective nested case-control study enrolls a cohort before disease onset, follows participants forward in time, and then — once cases develop — samples matched controls from those still at risk at the time each case occurs. By embedding the case-control comparison inside a prospective cohort, the design combines the causal clarity of longitudinal follow-up with the cost efficiency of analysing only a fraction of the cohort's stored specimens or records.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: Prospective Nested Case-Control · Prospective Cohort Study. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare