منابع مشابه
Kaplan–Meier Estimator
The Kaplan–Meier estimator is a nonparametric estimator which may be used to estimate the survival distribution function from censored data. The estimator may be obtained as the limiting case of the classical actuarial (life table) estimator, and it seems to have been first proposed by Böhmer [2]. It was, however, lost sight of by later researchers and not investigated further until the importa...
متن کاملAn Introduction to Survival Statistics: Kaplan-Meier Analysis
Authors' disclosures of potential conflicts of interest are found at the end of this article. S tudies of how patients respond to treatment over time are fundamentally important to understanding how therapies influence quality of life and progression of disease during survi-vorship. When investigators examine change over time in continuous variables (e.g., patient self-reports of pain, fatigue,...
متن کاملAn Introduction to Survival Statistics: Kaplan-Meier Analysis.
Studies of how patients respond to treatment over time are fundamentally important to understanding how therapies influence quality of life and progression of disease during
متن کاملAbout an adaptively weighted Kaplan-Meier estimate.
The minimum averaged mean squared error nonparametric adaptive weights use data from m possibly different populations to infer about one population of interest. The definition of these weights is based on the properties of the empirical distribution function. We use the Kaplan-Meier estimate to let the weights accommodate right-censored data and use them to define the weighted Kaplan-Meier esti...
متن کاملSurvival analysis I: the Kaplan-Meier method.
The Kaplan-Meier (KM) method is used to analyze 'time-to-event' data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM method, to provide some guidance regarding the presentation of the KM results and to discuss some importa...
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ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2020
ISSN: 1935-7524
DOI: 10.1214/20-ejs1704