A framework for leveraging machine learning tools to estimate personalized survival curves

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-01-10 DOI:10.1080/10618600.2024.2304070

Charles J. Wolock, Peter B. Gilbert, Noah Simon, Marco Carone

引用次数: 0

Abstract

The conditional survival function of a time-to-event outcome subject to censoring and truncation is a common target of estimation in survival analysis. This parameter may be of scientific interest ...

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利用机器学习工具估算个性化生存曲线的框架

时间到事件结果的条件生存函数受删减和截断的影响，是生存分析中常用的估计目标。该参数可能具有科学意义...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.