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