A flexible approach for causal inference with multiple treatments and clustered survival outcomes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A flexible approach for causal inference with multiple treatments and clustered survival outcomes

Published:2022-08-10 Issue:25 Volume:41 Page:4982-4999
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Hu Liangyuan¹^ORCID,Ji Jiayi¹,Ennis Ronald D.²,Hogan Joseph W.³

Affiliation:

1. Department of Biostatistics and Epidemiology Rutgers University Piscataway New Jersey USA

2. Department of Radiation Oncology Cancer Institute of New Jersey of Rutgers University New Brunswick New Jersey USA

3. Department of Biostatistics Brown University Providence Rhode Island USA

Funder

National Heart, Lung, and Blood Institute

National Cancer Institute

Patient-Centered Outcomes Research Institute

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9548

Reference54 articles.

1. Brachytherapy-Based Radiotherapy and Radical Prostatectomy Are Associated With Similar Survival in High-Risk Localized Prostate Cancer

2. Challenges of Interpreting Registry Data in Prostate Cancer: Interpreting Retrospective Results Along With or in Absence of Clinical Trial Data

3. Estimating heterogeneous survival treatment effect in observational data using machine learning

4. Propensity score weighting analysis of survival outcomes using pseudo‐observations;Zeng S;Stat Sin,2022

5. Generalized propensity score for estimating the average treatment effect of multiple treatments

Cited by 6 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. Leveraging machine learning: Covariate-adjusted Bayesian adaptive randomization and subgroup discovery in multi-arm survival trials;Contemporary Clinical Trials;2024-07

2. A new method for clustered survival data: Estimation of treatment effect heterogeneity and variable selection;Biometrical Journal;2023-12-10

3. Estimating the causal effects of multiple intermittent treatments with application to COVID-19;Journal of the Royal Statistical Society Series C: Applied Statistics;2023-08-24

4. Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series;International Journal of Environmental Research and Public Health;2022-12-01

5. A Flexible Approach for Assessing Heterogeneity of Causal Treatment Effects on Patient Survival Using Large Datasets with Clustered Observations;International Journal of Environmental Research and Public Health;2022-11-12

同舟云学术

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