Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
outcome of the output variable. You can use this approach for both A/B tests and observational data. However, with observations, we should treat our causal conclusions with a pinch of salt because we can never be sure that we accounted for all confounders. Thank you a lot for reading this article.