Adjusting for indirectly measured confounding using large-scale propensity score

Author:

Zhang LinyingORCID,Wang YixinORCID,Schuemie Martijn J.ORCID,Blei David M.ORCID,Hripcsak GeorgeORCID

Funder

Nvidia

National Science Foundation

Amazon Web Services Inc

National Institutes of Health

Office of Naval Research Multidisciplinary University Research Initiative

Office of Naval Research

Simons Foundation

Defense Advanced Research Projects Agency

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference69 articles.

1. The central role of the propensity score in observational studies for causal effects;Rosenbaum;Biometrika,1983

2. Evaluating large-scale propensity score performance through real-world and synthetic data experiments;Tian;Int. J. Epidemiol.,2018

3. Matching to remove bias in observational studies;Rubin;Biometrics. J. Int. Biometric Soc.,1973

4. The use of matched sampling and regression adjustment to remove bias in observational studies;Rubin;Biometrics. J. Int. Biometric Soc.,1973

5. Matching methods for causal inference: A review and a look forward;Stuart;Statist. Sci.,2010

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