Dynamic predictions with time-dependent covariates in survival analysis using joint modeling and landmarking
Author:
Affiliation:
1. Department of Biostatistics; Erasmus Medical Center; The Netherlands
2. Interuniversity Institute for Biostatistics and Statistical Bioinformatics, KU Leuven & Universiteit Hasselt; Belgium
Funder
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Reference31 articles.
1. Analysis of survival by tumor response;Anderson;Journal of Clinical Oncology,1983
2. Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structures;Andrinopoulou;Statistics in Medicine,2016
3. Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data;Andrinopoulou;Statistical Methods in Medical Research,2015
4. Re-operations for aortic allograft root failure: Experience from a 21-year single-center prospective follow-up study;Bekkers;European Journal of Cardio-Thoracic Surgery,2011
5. Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks;Blanche;Biometrics,2015
Cited by 90 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Dynamic Prediction Using Landmark Historical Functional Cox Regression;Journal of Computational and Graphical Statistics;2024-09-03
2. Delayed kernels for longitudinal survival analysis and dynamic prediction;Statistical Methods in Medical Research;2024-08-30
3. Estimation of the time-dependent AUC for cure rate model with covariate dependent censoring;Communications for Statistical Applications and Methods;2024-07-31
4. Individualized survival predictions using state space model with longitudinal and survival data;Journal of The Royal Society Interface;2024-07
5. Functional Multivariable Logistic Regression With an Application to HIV Viral Suppression Prediction;Biometrical Journal;2024-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3