Evaluating Uses of Deep Learning Methods for Causal Inference
Albert Whata, Charles Chimedza • IEEE Access
(2022)
Logistic regression (LR) is a popular method that is used for estimating causal effects in observational studies using propensity scores. We examine the use of deep learning models such as the deep neural network (DNN), PropensityNet (PN), ...
DOAJ
Open Access (DOAJ)
DOI:
10.1109/ACCESS.2021.3140189