In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...
This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score ...
Philosophy of Science, Vol. 71, No. 5, Proceedings of the 2002 Biennial Meeting of The Philosophy of Science AssociationPart II: Symposia PapersEdited by Sandra D. Mitchell (December 2004), pp.
To build truly intelligent machines, teach them cause and effect. The formal modeling and logic to support seemingly fundamental causal reasoning has been lacking in data science and AI, a need Pearl ...
Post by Panayiota (Pani) Kendeou & Kristen McMaster, University of Minnesota Making Inferences: The Cornerstone of Reading Comprehension Despite the persistent efforts of researchers, policy makers, ...
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