Thin Nguyen

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...