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パネルベースの観察的量的研究×コホート研究×
分野研究デザイン疫学
系統Process / pipelineProcess / pipeline
提唱年1960s–1980s (formalized in econometrics); widely adopted in social sciences by 1990sMid-20th century (formal epidemiological design codified ~1950s)
提唱者Established through econometrics literature; foundational contributions by Cheng Hsiao, Zvi Griliches, and Marc NerloveDoll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
種類Quantitative observational longitudinal designObservational longitudinal study design
原典Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
別名panel observational study, longitudinal observational panel design, panel survey research, repeated-measures observational designlongitudinal study, follow-up study, panel study, incidence study
関連46
概要Panel-based observational quantitative research follows the same individuals, organizations, or units across two or more time points without experimentally manipulating any condition. By combining the within-unit depth of longitudinal tracking with the numerical precision of quantitative measurement, it enables researchers to study change over time, detect lagged effects, and control for stable unobserved characteristics — all while maintaining the ethical simplicity of pure observation.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: Panel-based Observational Quantitative Research · Cohort Study. 2026-06-17に以下より取得 https://scholargate.app/ja/compare