Finding individual-level data for adequatelypowered Mendelian randomization analyses may be problematic. As publicly-available summarized data on genetic associations with disease outcomes from large ...
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 ...
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 ...
Please provide your email address to receive an email when new articles are posted on . NEW ORLEANS — Causal artificial intelligence used to augment a polygenic risk score for CAD helped estimate how ...
Data Poem, a developer of cutting-edge artificial intelligence models for business orchestration, today announced the launch of POEM365, a large causal AI model designed to transform how large ...
I first met Glenn Saxe at the St. Regis Hotel in New York City through an introduction from a senior mentor. From our first conversation, I recognized him as a rare genius—someone who has applied his ...
What if consumer-packaged goods marketers had the technology to identify and a database to keep track of purchases for a specific brand and product, and to identify the store where they were sold for ...
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