Kathryn Backholer

Causal machine learning for understanding heterogeneous effects of childhood obesity prevention

Abstract Community-based interventions (CBIs) are widely used to prevent childhood obesity, yet evaluating their causal effects is challenging due to multi-level interactions and variation across individuals. Standard statistical approaches often have difficulty addressing these...

SCANNER: A Deep-Learning System for Detecting the Digital Marketing of Foods and Beverages.

. 2026;116(10):1557-1564. https://doi.org/10.2105/AJPH.2026.308700).