Causal machine learning methods and use of cross-fitting in settings with high-dimensional confounding

Susan Ellul, Stijn Vansteelandt, John B. Carlin +1

Observational epidemiological studies commonly seek to estimate the causal effect of an exposure on an outcome. Adjustment for potential confounding bias in modern studies is chall…