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Medrxiv : the Preprint Server for Health Sciences|January 10, 2024
Integrating Causal Discovery and Clinically-Relevant Insights to Explore Directional Relationships between Autistic Features, Sex at Birth, and Cognitive AbilitiesSunday Francis, Angela Tseng, Eric Rawls, et al.
Journal of Adolescence|November 10, 2025
Causal Pathways to Risk and Protective Factors for Partial-Day School Absenteeism for Secondary School StudentsKnoo Lee, Erich Kummerfeld, Barbara J McMorris, et al.
JAACAP Open|December 10, 2025
Environmental, Health, and Psychological Factors Predict Alcohol Sipping in Childhood: A Machine Learning Analysis of the ABCD StudyGregory R Niklason, Andrea M Maxwell, Leyla R Brucar, et al.
Psychological Medicine|March 18, 2025
Integrating causal discovery and clinically-relevant insights to explore directional relationships between autistic features, sex at birth, and cognitive abilitiesAngela Tseng, Sunday M Francis, Eric Rawls, et al.
Proceedings of Machine Learning Research|August 28, 2019
Learning High-dimensional Directed Acyclic Graphs with Mixed Data-typesBryan Andrews, Joseph Ramsey, Gregory F Cooper
International Journal of Data Science and Analytics|August 25, 2018
Scoring Bayesian Networks of Mixed VariablesBryan Andrews, Joseph Ramsey, Gregory F Cooper
Brain Stimulation|June 22, 2023
Frontal tDCS reduces alcohol relapse rates by increasing connections from left dorsolateral prefrontal cortex to addiction networksJazmin Camchong, Donovan Roediger, Mark Fiecas, et al.
Journal of Eating Disorders|January 24, 2026
Personal causal modeling of affect and eating behaviors in bulimia nervosa: implications for personalized treatmentKelvin O Lim, Erich Kummerfeld, Lisa M Anderson, et al.
Alcoholism, Clinical and Experimental Research|September 5, 2022
Quantifying heterogeneity in mood-alcohol relationships with idiographic causal modelsBrittany L Stevenson, Erich Kummerfeld, Jennifer E Merrill, et al.
Scientific Reports|September 17, 2022
Explainable machine learning analysis reveals sex and gender differences in the phenotypic and neurobiological markers of Cannabis Use DisorderGregory R Niklason, Eric Rawls, Sisi Ma, et al.
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