手法を比較

	後向きコックス比例ハザードモデル	Cox Proportional Hazards
分野	疫学	疫学
系統	Process / pipeline	Process / pipeline
提唱年	1972	1972
提唱者	David R. Cox	Sir David Roxbee Cox
種類	Semi-parametric survival regression	Semi-parametric regression model
原典	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society, Series B, 34(2), 187–220.	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.
別名	Cox PH regression (retrospective), retrospective Cox survival model, retrospective hazard regression, Cox model on historical data	Cox regression, Cox PH model, proportional hazards model, CPH
関連	5	5
概要	Retrospective Cox proportional hazards regression applies Cox's (1972) semi-parametric survival model to time-to-event data extracted from existing records — medical charts, administrative databases, registries, or biobanks. It estimates covariate-adjusted hazard ratios (HRs) without specifying the underlying baseline hazard, making it the dominant analytic tool when the investigator works backward from already-recorded outcomes and exposures.	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.