방법 비교

	다기관 Cox 비례 위험 모형	다기관 코호트 연구
분야	역학	역학
계열	Process / pipeline	Process / pipeline
기원 연도	1972 (Cox model); multicenter applications formalized 1980s–1990s	Mid-to-late 20th century (widespread adoption 1970s–1990s)
창시자	D. R. Cox (Cox PH model); multicenter extension developed through collaborative trial methodology	Developed incrementally through large collaborative epidemiological projects (e.g., Framingham Heart Study consortium expansions, 1948 onward; EPIC study, 1992)
유형	Semi-parametric survival regression for clustered data	Observational longitudinal study
원전	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
별칭	multicenter Cox regression, multisite Cox PH model, stratified Cox model across centers, multicenter survival regression	multisite cohort study, multi-centre cohort, collaborative cohort study, pooled cohort study
관련	4	6
요약	Multicenter Cox proportional hazards regression extends the classic Cox PH model to studies conducted at two or more clinical sites or centers. It estimates the effect of predictors on time-to-event outcomes while explicitly accounting for clustering within centers, between-center heterogeneity, and potential differences in baseline hazard across sites. This design is standard practice in large multicenter RCTs and observational cohort studies in oncology, cardiology, and other clinical fields.	A multicenter cohort study follows defined groups of participants at two or more geographically or institutionally distinct sites over time to estimate incidence, identify risk factors, and quantify associations between exposures and outcomes. By pooling data from multiple centers, it achieves statistical power and population diversity that single-site designs cannot match, making it the workhorse of large-scale epidemiological and clinical research.