Data Science, Causality, Statistics, Advertising, Python.
causal state X. Further, we assume that we observe all common causes that may confound the effect of X on Y. If the propensity score model is mis-specified or if there are unobserved confounders, you’ll still get biased estimates of whichever statistic you’re estimating. Using non-parametric