a/b testing

Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

Some highlights from 2020

Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.

Making Bayesian A/B testing more accessible

A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.