Causal Inference, Causal Data Science, Causal Machine Learning, Data Science, Machine Learning.
variables, in causal inference, missing a relevant variable can be crucial. For example, for some illnesses, having comorbidities (illnesses other than the one we are interested in) may be very relevant. Imagine that, for whatever reason, you don’t have access to patients’ comorbidities. This means