Joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis
Author:
Funder
Health eResearch Centre (HeRC) funded by a Medical Research Council Grant
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Epidemiology
Link
http://link.springer.com/content/pdf/10.1186/s12874-016-0272-6.pdf
Reference101 articles.
1. Tsiatis AA, Davidian M. Joint modeling of longitudinal and time-to-event data: An overview. Stat Sinica. 2004;14(3):809–34.
2. Gould AL, et al. Responses to discussants of 'Joint modeling of survival and longitudinal non-survival data: Current methods and issues. report of the DIA Bayesian joint modeling working group'. Stat Med. 2015;34(14):2202–3.
3. Proust-Lima C, et al. Joint latent class models for longitudinal and time-to-event data: A review. Stat Methods Med Res. 2014;23(1):74–90.
4. Henderson R, Diggle P, Dobson A. Joint modelling of longitudinal measurements and event time data. Biostatistics. 2000;1(4):465–80.
5. Glass GV. Primary, Secondary, and Meta-Analysis of Research. Educ Res. 1976;5(10):3–8.
Cited by 40 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. Weight calibration in the joint modelling of medical cost and mortality;Statistical Methods in Medical Research;2024-03-06
2. Choice of baseline hazards in joint modeling of longitudinal and time-to-event cancer survival data;Statistical Applications in Genetics and Molecular Biology;2024-01-01
3. Using a Bayesian model of the joint distribution of pain and time on medication to decide on pain medication for neuropathy;Communications in Statistics: Case Studies, Data Analysis and Applications;2023-05-19
4. Disease progression joint model predicts time to type 1 diabetes onset: Optimizing future type 1 diabetes prevention studies;CPT: Pharmacometrics & Systems Pharmacology;2023-05-03
5. External validation and longitudinal application of the DO-GAP index to individualise survival prediction in idiopathic pulmonary fibrosis;ERJ Open Research;2023-05
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