Fantastic paper describes the bias that may arise *from* #regularisation in a multi level model.
Simple correction the authors propose only works if there is *no* treatment-confounder feedback(see: https://go-bayes.github.io/b-causal/posts/confounder-treatment-feedback/conf-out-feedback.html)