Causal Inference, Machine Learning, Azure, Microsoft, Data Science.
bias. For example, in medicine, age is usually a confounder variable since people of different ages usually have different treatment preferences. As a result, we may observe that the age distribution of the treated group is significantly different from the age distribution of the observed control