Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate ...

University of Kansas researcher Folashade Agusto trained as an applied mathematician, though today she's an associate ...

A deep learning model based on mammographic features and age predicts cardiovascular risk with performance comparable to traditional risk equations.

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...