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회고적 단면 역학 연구×중첩 환자-대조군 연구×
분야역학역학
계열Process / pipelineProcess / pipeline
기원 연도Mid–late 20th century1973–1977
창시자Epidemiology tradition (formalized in mid-20th century; Rothman, Greenland and others)Nathan Mantel (1973); D. C. Thomas (1977 formalization)
유형Observational study designHybrid observational study design
원전Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Thomas, 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 ↗
별칭retrospective cross-sectional survey, record-based cross-sectional study, retrospective prevalence study, secondary-data cross-sectional studyNCC study, nested CC design, case-control within cohort, density sampling case-control
관련56
요약A retrospective cross-sectional epidemiological study measures the prevalence of exposures and outcomes at a single analytical time point using data that were originally recorded in the past — such as medical records, administrative databases, or disease registries. It combines the snapshot logic of a cross-sectional design with the efficiency of retrospective data access, making it a practical choice when prospective data collection is unfeasible or when large existing datasets are available.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.
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ScholarGate방법 비교: Retrospective cross-sectional epidemiological study · Nested case-control. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare