Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
complicated model doesn’t always result in a more accurate treatment effect estimate in a causal context. Business goals and available data are the main drivers of algorithm selection. Then we can try and compare multiple estimation methods. To validate the model, we do encourage trying multiple