Сравнение на методи

	Регресия на преживяемостта	Регресия на Вайбул за оцеляване (Weibull Parametric Survival Regression)
Област	Статистика	Анализ на преживяемостта
Семейство	Regression model	Survival analysis
Година на възникване	1980s	1951
Създател	Kalbfleisch & Prentice; Cox & Oakes	Waloddi Weibull
Тип	Parametric survival model	Fully parametric survival regression model
Основополагащ източник	Kalbfleisch, J. D., & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. ISBN: 978-0471363576	Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley.
Други названия	accelerated failure time model, AFT model, parametric survival model, time-to-event regression	weibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma
Свързани	3	4
Резюме	Survival regression models the time until an event occurs — such as death, failure, or relapse — as a function of covariates. Unlike ordinary regression, it properly accounts for censored observations (cases where the event had not yet occurred at the end of follow-up) by specifying a parametric distribution for the survival time and estimating covariate effects via maximum likelihood.	Weibull regression is a fully parametric survival model, formalised by Kalbfleisch and Prentice, that assumes survival times follow a Weibull distribution. A shape parameter controls whether the hazard increases, decreases, or remains constant over time, while covariates shift the scale of the distribution to express how predictors affect survival.