Machine Learning for Causal Inference: On the Use of Cross-fit Estimators.
Journal:
Epidemiology (Cambridge, Mass.)
Published Date:
May 1, 2021
Abstract
BACKGROUND: Modern causal inference methods allow machine learning to be used to weaken parametric modeling assumptions. However, the use of machine learning may result in complications for inference. Doubly robust cross-fit estimators have been proposed to yield better statistical properties.