قارن الطرق

	انحدار وايبل البارامتري للبقاء	تحليل القوة للدراسات الباقية
المجال	تحليل البقاء	الإحصاء
العائلة	Survival analysis	Hypothesis test
سنة النشأة	1951	1981
صاحب الطريقة	Waloddi Weibull	—
النوع	Fully parametric survival regression model	Sample size determination for survival outcomes
المصدر التأسيسي	Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley.	Schoenfeld, D. A. (1981). The asymptotic properties of nonparametric tests for comparing survival distributions. Biometrika, 68(1), 316–319.
الأسماء البديلة	weibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma	log-rank power analysis, cox regression power analysis, survival power analysis, Sağkalım Analizi Güç Analizi
ذات صلة	4	6
الملخص	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.	Power analysis for survival studies determines how many participants — and how many observed events — are required so that a log-rank test or Cox regression has a sufficient probability of detecting a clinically meaningful difference in survival between groups. The foundational formulas were derived by Schoenfeld (1981) and Lachin (1981) and remain the standard approach in clinical trial planning.