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    Is it appropriate to include intermediate outcomes in a predictive model?

    It is quite clear that one should not control for post-treatment variables / intermediate outcomes when the goal is causal inference, but I wasn't sure if the same advice should hold when one's goal is to build a model for prediction. Context for my question: I'm trying to build a model that...