Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
treatment effects. However, in observational studies, the possibility of bias arises because a difference in the treatment outcome may be caused by a factor that predicts treatment rather than the treatment itself, known as confoundedness. As a result, it’s desirable to replicate a randomized