利用地标历史功能 Cox 回归进行动态预测

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-07-02 DOI:10.1080/10618600.2024.2374576

Andrew Leroux, Ciprian Crainiceanu

引用次数: 0

摘要

对存在时变协变量的生存数据进行动态预测是一个活跃的研究领域。针对这类数据的两种常见分析方法是纵向和横向联合建模。

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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Dynamic prediction using landmark historical functional Cox regression

Dynamic prediction of survival data in the presence of time-varying covariates is an area of active research. Two common analytic approaches for this type of data are joint modeling of the longitud...

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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.