Identifying Confounders Using Bayesian Networks and Estimating Treatment Effect in Prostate Cancer With Observational Data.
Melle SieswerdaShixuan XieRuby van RossumInigo BermejoGijs GeleijnseKatja K H AbenFelice N van ErningValery LemmensAndre DekkerXander VerbeekPublished in: JCO clinical cancer informatics (2023)
A blacklist in conjunction with structure learning can result in a causal BN that can be used for confounder identification. Treatment effect found here is close to the 5 percentage point found in the literature.