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配对横断面流行病学研究×队列研究×
领域流行病学流行病学
方法族Process / pipelineProcess / pipeline
起源年份Mid-to-late 20th century (formalized ~1970s–1990s)Mid-20th century (formal epidemiological design codified ~1950s)
提出者Developed within the tradition of observational epidemiology; matching principles codified by Greenland, Rothman, and Kelsey in modern epidemiology textsDoll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
类型Observational epidemiological study designObservational longitudinal study design
开创性文献Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
别名matched cross-sectional survey, matched prevalence study, matched cross-sectional design, frequency-matched cross-sectional studylongitudinal study, follow-up study, panel study, incidence study
相关56
摘要A matched cross-sectional epidemiological study is an observational design that measures exposure and outcome simultaneously in a population sample while applying matching to control for one or more confounding variables. By pairing or grouping participants on key characteristics such as age, sex, or socioeconomic status before or during analysis, the design reduces confounding bias without requiring longitudinal follow-up, making it efficient for estimating prevalence and cross-sectional associations.A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome.
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ScholarGate方法对比: Matched Cross-Sectional Epidemiological Study · Cohort Study. 于 2026-06-18 检索自 https://scholargate.app/zh/compare