How to Use Causal Inference In Day-to-Day Analytical Work (Part 2 of 2)

In Part 1, we looked at how to use Causal Inference to draw the right conclusions — or at least not jump to the wrong conclusions — from observational data.

We saw that confounders are often the reason why we draw the wrong conclusions and learned about a simple technique called stratification that can help us control for confounders.

In this article, we present another example of how to use stratification and then consider what to do when there are so many confounders that stratification becomes messy.

Read the rest of the post on Medium.


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