Tohoku University and Fujitsu Limited demonstrated an important use case for AI technology in new materials discovery, ...
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 ...
Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
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 ...
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 ...
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 ...
A new study has analysed over 3000 proteins to identify which are causally linked to the development of severe COVID-19. This is the first study to assess such a large number of proteins for their ...
Gow, Ian D., David F. Larcker, and Peter C. Reiss. "Causal Inference in Accounting Research." Journal of Accounting Research 54, no. 2 (May 2016): 477–523.
The Global Causal AI Market size was valued USD 26.0 million in 2023 and is further anticipated to reach USD 599.3 million by 2032 according to Dimension Market Research. The market is anticipated to ...
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