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実用的横断疫学研究×コホート研究×
分野疫学疫学
系統Process / pipelineProcess / pipeline
提唱年Mid-20th century onwards; pragmatic framing prominent from 1967Mid-20th century (formal epidemiological design codified ~1950s)
提唱者Classical epidemiology tradition; pragmatic framing refined by Schwartz & Lellouch (1967) and subsequent real-world evidence literatureDoll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
種類Observational epidemiological designObservational longitudinal study design
原典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
別名pragmatic cross-sectional survey, real-world cross-sectional study, observational cross-sectional study, prevalence surveylongitudinal study, follow-up study, panel study, incidence study
関連46
概要A pragmatic cross-sectional epidemiological study measures the prevalence of exposures, outcomes, and risk factors in a defined population at a single point in time, conducted under real-world conditions rather than tightly controlled experimental settings. It provides a snapshot of the health status of a community or patient group, making it one of the most widely used designs for surveillance, needs assessment, and hypothesis generation in clinical and public-health epidemiology.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手法を比較: Pragmatic Cross-Sectional Epidemiological Study · Cohort Study. 2026-06-19に以下より取得 https://scholargate.app/ja/compare