Alejandro Schuler
@aschuler.bsky.social
Assistant Professor of Biostatistics UC Berkeley
semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice
Modern Causal Inference Book: alejandroschuler.github.io/mci/
semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice
Modern Causal Inference Book: alejandroschuler.github.io/mci/
am I insane or is this motivation in the 2019 Dragonnet paper completely wrong? If this were true, then it would be pointless to ever adjust in an RCT (where the part of "X" relevant to predict treatment is none of it)
April 24, 2025 at 9:24 PM
am I insane or is this motivation in the 2019 Dragonnet paper completely wrong? If this were true, then it would be pointless to ever adjust in an RCT (where the part of "X" relevant to predict treatment is none of it)