Peak alpha frequency, a marker of neural maturation, is more related to age in neurotypical children and cognitive ability in autistic children 
Contour plot depicting different relationships between cognitive ability, age, and peak alpha frequency in autistic and neurotypical youth 
Using network analysis to understand connections between autism-related approach-withdrawal behaviors and co-occurring psychiatric conditions (Han, Kala, …, McPartland, under review) 
Differential node importance plots to identify approach-withdrawal nodes that are relevant to specific co-occurring conditions 
Model comparison study investigating different machine learning algorithms for predicting individualized treatment response to CBT for pediatric chronic pain 
Comparison of “trees vs. stumps” random forest models indicates that the “interactions/trees allowed” model was superior, suggesting that modeling interactions among predictors is essential for predicting treatment response 
Application of random forest modeling to predict the gap between cognitive ability and adaptive functioning using the Rhode Island Consortium for Autism Research and Treatment (RI-CART) 
Latent profile analysis to identify patterns of discrepancy between parent-and clinician-reported autism symptoms 
Investigating mechanisms underlying high rates of depression in autism to inform individualized treatment targets
Clinical Psychologist and Researcher
Gloria T. Han, PhD 