Deep dive into causal inference methods: randomised control trials (aka AB tests)

A series of deep-dives into essential topics of causal inference, from randomised control trials to double machine learning!

🚀 Subscribe to us @ newsletter.verticalsolution.io for deep-dive content in DS, ML or AI! 🚀

In this series, we will go over the following topics from causal inference methods:

• Randomised control trials (RCT) [covered in this article]
• Covariate adjustment in RCT
• Regression analysis
• Propensity score matching
• Propensity score weighting
• Double-robust estimators
• Subgroup analysis
• Double machine learning
• Instrumental variable
• Difference-in-difference
• Regression discontinuity

What are randomised control trials (RCTs)?

RCTs are always the golden standard in causal inference.

Consider a situation in an e-commerce website, how do we know whether giving 10% discount on price (treatment) to online customers will lead to increase in sales (outcome)?