Propensity score methods for causal inference: an overview
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Clinical Psychology,Experimental and Cognitive Psychology,Analysis
Link
http://link.springer.com/article/10.1007/s41237-018-0058-8/fulltext.html
Reference74 articles.
1. Ahmed A, Husain A, Love TE, Gambassi G, Dell’Italia LJ, Francis GS, Gheorghiade M, Allman RM, Meleth S, Bourge RC (2006) Heart failure, chronic diuretic use, and increase in mortality and hospitalization: an observational study using propensity score methods. Eur Heart J 27(12):1431–1439
2. Austin PC (2011) An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res 46(3):399–424
3. Austin PC, Stuart EA (2015) Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med 34(28):3661–3679
4. Bai H (2011a) A comparison of propensity score matching methods for reducing selection bias. Int J Res Method Educ 34(1):81–107
5. Bai H (2011b) Using propensity score analysis for making causal claims in research articles. Educ Psychol Rev 23:273–278
Cited by 19 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. Little and often: Causal inference machine learning demonstrates the benefits of homework for improving achievement in mathematics and science;Learning and Instruction;2024-10
2. Propensity score matching for comparative studies: a tutorial with R and Rex;Journal of Minimally Invasive Surgery;2024-06-15
3. Comparing Data Quality and Response Behavior Between Smartphone, Tablet, and Computer Devices in Responsive Design Online Surveys;Sage Open;2024-04
4. Examining the Long-Term Effects of Direct Payments for Agricultural Multifunctionality in Japan;2024
5. Propensity score methods for causal inference and generalization;Asia Pacific Education Review;2023-10-27
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