Data Science, Statistics, Analytics, Experiment, Causality.
biased anyway if we misspecify the model, e.g. nonlinearities or omitted variables. Use it with care. Using Doubly Robust Machine Learning Causal forests are hot topic but can be confusing; and, from my experience, it doesn’t scale well. I prefer the simpler doubly robust estimation described by