ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Регрессия пропорциональных рисков Кокса×Оценка кумулятивной функции риска Нельсона-Аалена×
ОбластьАнализ выживаемостиАнализ выживаемости
СемействоSurvival analysisSurvival analysis
Год появления19721972
Автор методаCox, D. R.Wayne Nelson & Odd Aalen
ТипSemi-parametric hazard regression modelNon-parametric cumulative hazard estimator
Основополагающий источникCox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗Nelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945–966. DOI ↗
Другие названияcox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler RegresyonuNelson-Aalen cumulative hazard, Aalen estimator, empirical cumulative hazard, Nelson-Aalen kümülatif hazard tahmincisi
Связанные35
СводкаCox proportional hazards regression, introduced by D. R. Cox in 1972, is a semi-parametric model that estimates how one or more covariates affect the hazard — the instantaneous rate of experiencing an event — while leaving the baseline hazard function unspecified. It is the standard multivariable method in survival analysis and produces hazard ratios that quantify the relative risk associated with each predictor.The Nelson-Aalen estimator is a non-parametric estimator of the cumulative hazard function from right-censored time-to-event data. Developed by Wayne Nelson for reliability hazard plotting in 1972 and placed on a rigorous counting-process foundation by Odd Aalen in 1978, it accumulates the ratio of observed events to the number at risk at each event time, providing the natural hazard-scale companion to the Kaplan-Meier survival curve.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: Cox Regression · Nelson-Aalen Estimator. Получено 2026-06-18 из https://scholargate.app/ru/compare