Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
agents_df[agents_df.treatment == agents_df.passed_training]['case_id'])\ .fit() model.summary().tables[1] With aggregated data, we have roughly the same results for the effect of treatment. So, there’s no problem if you have only average numbers. Use case: observational data We’ve looked at the A/B