Nonparametric estimation of the survival function from censored data based on relative risk function
A. A. Abdushukurov
Faculty of Mechanics and Mathematics Department of Probability Theory and Mathematical Statistics, Tashkent State University, Tashkent, 700095, Uzbekistan
ABI
Аннотация
Abstract We present a nonparametric estimator for distribution function under random censorship from the right. Our approach is based on estimating the relative risk function, and the resulting estimator is closely related with the Kaplan-Meier's product-limit and Breslow's exponential hazard estimators. We also consider the general proportional hazards model when the competing risks are variable censored from the left. Keywords: Random censorshipproductlimitexponential hazardrelative riskproportional hazardscompeting risks
Мавзулар
Идентификаторлар
Иқтибослар ва манбалар
Кўрсаткичлар — AkademScholar · Тез орада