手法を比較

	前向き生存時間分析	Cox Proportional Hazards
分野	疫学	疫学
系統	Process / pipeline	Process / pipeline
提唱年	1958–1972 (foundational methods); prospective design emphasis formalized by 1980s	1972
提唱者	Kaplan & Meier (estimator, 1958); Cox (proportional hazards model, 1972); prospective design formalised in modern clinical epidemiology	Sir David Roxbee Cox
種類	Longitudinal observational or experimental study design with time-to-event analysis	Semi-parametric regression model
原典	Kleinbaum, D. G., & Klein, M. (2012). Survival Analysis: A Self-Learning Text (3rd ed.). Springer. ISBN: 978-1441966452	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.
別名	prospective time-to-event analysis, prospective failure-time analysis, forward-looking survival study, prospective event-time study	Cox regression, Cox PH model, proportional hazards model, CPH
関連	5	5
概要	Prospective survival analysis is a longitudinal study design in which participants are enrolled before the event of interest occurs, followed forward in time under standardised conditions, and analysed using survival-analytic methods to estimate the time until a defined clinical endpoint — such as death, disease recurrence, or treatment failure. Because data are collected prospectively, exposure and covariate information are recorded before outcomes are known, substantially reducing recall and selection bias relative to retrospective approaches.	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.