Systematic reviewCausal inferenceCausalityCausal mediation analysis is often used to understand the impact of variables along the causal pathway of an occurrence relation. How well studies apply and report the elements of causal mediation analysis remains unknown. We systematically reviewed epidemiological ...
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In this section, we briefly review the existing benchmark mediation models and present the limitations of traditional methods. Vectors and scalers are denoted by bold and ordinary letters, respectively. Let Y be the dependent variable and T and M be the treatment variable and mediator, respectivel...
In this Technical Review, we explain the use of causal inference frameworks with a focus on the challenges of time series data. Domain-adapted explanations, method guidance and practical case studies provide an accessible summary of methods for causal discovery and causal effect estimation. Examples ...
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A Review of Dataset and Labeling Methods for Causality Extraction https://aclanthology.org/2020.coling-main.133 文献贡献总结如下: 1. 总结了因果关系的关系的概念并介绍了现有因果关系挖掘的工作; 2. 针对现有因果关系实验数据的缺陷和不足,对公开可用的数据集进行了总结,并从多个方面进行了分析; ...
Jin Huang: Writing – review & editing, Writing – original draft, Supervision, Project administration, Methodology, Formal analysis, Data curation, Conceptualization. Funding Authors are grateful for the funding support from the Consumer Financial Protection Bureau (CFPB) Financial Well-Being Research ...
Nature Human Behaviourthanks Amanda Hughes, Azra Ramezankhani and Fan Wang and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Additional information Publisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and ...
A review of mediation analysis in Stata: principles, methods and applications. Firenze: Italian Stata Users Group Meeting; 2013. Google Scholar Cole SR, Hernan MA. Fallibility in estimating direct effects. Int J Epidemiol. 2002;31(1):163–5. Article PubMed Google Scholar Pearl J. The ...