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 ...
Improving the conduct and reporting of newer methodological approaches Causal inference, the multidisciplinary field focused ...
With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...
Yılmaz, Övünç; Son, Yoonseock; Shang, Guangzhi; Arslan, Hayri A. Causal inference under selection on observables in operations management research: Matching methods and synthetic controls. Journal of ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
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 ...
Gary Hettinger, MS, University of Pennsylvania, will present Semi-Parametric Causal Methods for Health Policy Evaluations Under Interference." Evaluating health policies requires understanding how ...
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