A Perspective published in Volume 3 of the journal Psychoradiology, researchers from Shanghai Jiao Tong University confronted these challenges and advocates for more clarity and transparency in causal ...
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Harvard University offers 7 free data science courses
Harvard University is providing seven free online courses in data science, each running for eight to nine weeks and requiring ...
Develop and validate causal models to evaluate the impact of marketing campaigns and initiatives, leveraging advanced statistical methods for causal inference. Design and implement randomized ...
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 ...
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 ...
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 ...
The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect - and how they can be applied across a range of industry scenarios.
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