Measuring Uplift Without Randomised Control — a Quick and Practical Guide

Author(s): Jonty Haberfield

Originally published on Towards AI.

A tour of methods, including Difference in Differences, OLS vs. Bayesian regression, and ANOVA and ANCOVA

An email campaign. An updated web journey. A new medicine. Across industries and specialties we often ask — that thing I just did, how impactful was it?

This article explores various methods to measure the impact of interventions without relying on randomized control trials. It emphasizes techniques such as Difference in Differences (DiD), how to apply OLS and Bayesian regression, and discusses the relevance of ANOVA and ANCOVA. The author shares practical insights and code snippets for analyzing data effectively while highlighting potential pitfalls like assumptions of independence and variance in different contexts.

Read the full blog for free on Medium.

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Published via Towards AI