Causal inference in observational settings seeks to estimate the effect of exposures, treatments or interventions on outcomes in the absence of random assignment. Unlike experimental designs, ...
The authors note the critical shift that occurred between statistical natural language processing (NLP), where AI retrieves and ranks existing information, with the (human) user then able to judge ...
Objective To evaluate the association between use of newer glucagon-like peptide-1 receptor agonists (GLP-1 RAs; semaglutide, ...
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