Mean vs Median Causal Effect

CAUSAL DATA SCIENCE

An introduction to quantile regression

In A/B tests, a.k.a. randomized controlled trials, we usually estimate the average treatment effect (ATE): the effect of a treatment (a drug, ad, product, …) on an outcome of interest (a disease, firm revenue, customer satisfaction, …), where the “average” is taken over the test subjects (patients, users, customers, …). The ATE is a very useful quantity since it tells us the effect …

causal-data-science causal inference data science editors pick mean statistics