השוואת שיטות

	רגרסיית הישרדות פרמטרית של וייבול	אומדן הישרדות קפלן-מאייר
תחום	הישרדות	הישרדות
משפחה	Survival analysis	Survival analysis
שנת המקור	1951	1958
הוגה השיטה	Waloddi Weibull	Kaplan, E. L. & Meier, P.
סוג	Fully parametric survival regression model	Non-parametric survival estimator
מקור מכונן	Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley.	Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481.
כינויים	weibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma	product-limit estimator, km curve, kaplan-meier sağkalım analizi
קשורות	4	2
תקציר	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.	The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.