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Phân tích Tương quan Liều-Đáp ứng Tiềm năng×Cox proportional hazards×
Lĩnh vựcDịch tễ họcDịch tễ học
HọProcess / pipelineProcess / pipeline
Năm ra đời1965 (Hill's criteria); widely applied through 1980s–present1972
Người khởi xướngBradford Hill (causal criteria including dose-response, 1965); formalized in modern epidemiology by Rothman, Greenland and othersSir David Roxbee Cox
LoạiAnalytical epidemiological study designSemi-parametric regression model
Công trình gốcRothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. DOI ↗
Tên gọi khácprospective exposure-response analysis, prospective trend analysis, forward-looking dose-response study, prospective gradient analysisCox regression, Cox PH model, proportional hazards model, CPH
Liên quan45
Tóm tắtProspective dose-response analysis is an epidemiological approach that measures exposure levels in a defined population before outcomes occur, then quantifies how the risk or magnitude of an outcome changes systematically as exposure increases. By collecting exposure data prospectively, researchers can establish temporal sequence, reduce recall bias, and assess whether a biological gradient — one of Hill's classic causal criteria — exists between the agent of interest and a health outcome.The Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research.
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ScholarGateSo sánh phương pháp: Prospective Dose-Response Analysis · Cox proportional hazards. Truy cập ngày 2026-06-19 từ https://scholargate.app/vi/compare