Direct likelihood inference on the cause-specific cumulative incidence function: A flexible parametric regression modelling approach
Author:
Affiliation:
1. Biostatistics Research Group, Department of Health Sciences; University of Leicester; Leicester UK
2. Department of Medical Epidemiology & Biostatistics; Karolinska Institutet; Stockholm Sweden
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Reference36 articles.
1. Competing risks analyses: objectives and approaches;Wolbers;Eur Heart J,2014
2. Survival analysis in the presence of competing risks: the example of waitlisted kidney transplant candidates;Sapir-Pichhadze;Am J Transplantation,2016
3. When do we need competing risks methods for survival analysis in nephrology?;Noordzij;Nephrol Dialysis Transplantation,2013
4. Competing risks and the clinical community: irrelevance or ignorance?;Koller;Stat Med,2012
5. A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions;Latouche;J Clinical Epidemiol,2013
Cited by 16 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. Why you should avoid using multiple Fine–Gray models: insights from (attempts at) simulating proportional subdistribution hazards data;Journal of the Royal Statistical Society Series A: Statistics in Society;2024-06-27
2. Assessment of prognostic model performance in the presence of competing risks using a cause-specific hazards approach;2023-10-23
3. Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time;Statistics in Medicine;2023-09-13
4. Outcomes after minor lower limb amputation for peripheral arterial disease and diabetes: population-based cohort study;British Journal of Surgery;2023-05-22
5. Joint modeling of longitudinal and competing-risk data using cumulative incidence functions for the failure submodels accounting for potential failure cause misclassification through double sampling;Biostatistics;2022-11-04
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