3 papers
stat.ME2026
COMPACT: Spectral Adjustment Scores from a Complete and Irreducible Causal Criterion
Eric V. Strobl
Observational datasets frequently contain many baseline variables, yet investigators estimating causal effects may not know which variables to include in the adjustment set. Confou…
cs.LG2025
A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data
Marco Barbero-Mota, Eric V. Strobl, John M. Still +2
We provide an accessible description of a peer-reviewed generalizable causal machine learning pipeline to (i) discover latent causal sources of large-scale electronic health record…
cs.LG2025
A data-driven approach to discover and quantify systemic lupus erythematosus etiological heterogeneity from electronic health records
Marco Barbero Mota, John M. Still, Jorge L. Gamboa +4
Systemic lupus erythematosus (SLE) is a complex heterogeneous disease with many manifestational facets. We propose a data-driven approach to discover probabilistic independent sour…