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マッチド横断的疫学研究×横断疫学研究×
分野疫学疫学
系統Process / pipelineProcess / pipeline
提唱年Mid-to-late 20th century (formalized ~1970s–1990s)1960s (formal codification); widely practiced since mid-20th century
提唱者Developed within the tradition of observational epidemiology; matching principles codified by Greenland, Rothman, and Kelsey in modern epidemiology textsClassical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s)
種類Observational epidemiological study designObservational, descriptive/analytic epidemiological design
原典Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407
別名matched cross-sectional survey, matched prevalence study, matched cross-sectional design, frequency-matched cross-sectional studyprevalence study, cross-sectional survey, transversal study, cross-sectional design
関連56
概要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 cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes.
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ScholarGate手法を比較: Matched Cross-Sectional Epidemiological Study · Cross-sectional epidemiological study. 2026-06-19に以下より取得 https://scholargate.app/ja/compare