Achal Bassamboo

Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing

Motivated by practical applications in clinical trials and online platforms, we study A/B testing with the aim of estimating a confidence interval (CI) for the average treatment effect (ATE) using the minimum expected sample size. This CI should have a width at most $\epsilon$ while ensuring that th…