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回顾性横断面流行病学研究×嵌套病例对照研究×
领域流行病学流行病学
方法族Process / pipelineProcess / pipeline
起源年份Mid–late 20th century1973–1977
提出者Epidemiology tradition (formalized in mid-20th century; Rothman, Greenland and others)Nathan Mantel (1973); D. C. Thomas (1977 formalization)
类型Observational study designHybrid observational study design
开创性文献Rothman, 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 ↗
别名retrospective 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
相关56
摘要A 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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ScholarGate方法对比: Retrospective cross-sectional epidemiological study · Nested case-control. 于 2026-06-18 检索自 https://scholargate.app/zh/compare