Data Science, Statistics, Analytics, Experiment, Causality.
true coefficient is 20! This estimate is completely wrong. If we use IPW, we get the estimate of 103 - 83 = 20, the true causal effect. But wait a second. While the previous example is colloquially called selection bias, it’s a confounder in causal literature. We could’ve simply run regression: In