Smoothing Kaplan-Meier estimate using monotone support vector regression
نویسندگان
چکیده
منابع مشابه
About 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...
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The need for analyzing time to event data arises in a number of applied fields, such as epidemiology, public health and medicine [1]. ‘Time to event’ simply means the time from entry into a study until a subject has a particular outcome. The study that involves time to event can be a cohort study on a specific number of patients or participants which should be followed for a particular time per...
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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: Journal of the Korean Data and Information Science Society
سال: 2012
ISSN: 1598-9402
DOI: 10.7465/jkdi.2012.23.6.1045