Discover and read the best of Twitter Threads about #cartoonepi

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It’s been a long time since I did a new #cartoonepi #tweetorial, so let’s talk about how CAUSAL GRAPHS can help us think about MEDIATION!
Consider the following example:

•Drug X improves blood pressure.
•Exercise also improves blood pressure.
•People who take Drug X exercise more than those who don’t.

The causal graph (DAG) below shows these variables & their relationships.
Now suppose we want to know *how much* we can improve people’s blood pressure by having them take Drug X and how much of that improvement is not because people taking Drug X exercise more.

What can we do?
Read 24 tweets
It’s time for some #cartoonepi & #epiquiz fun!

Today, let’s talk about Difference-in-Difference analyses and how to use them to estimate the impact of policy changes!

Our example paper is from our May issue by @DrRitaHamad & colleagues.

I love this paper by @DrRitaHamad which tries to answer the question: did updating the allowed contents of the WIC package to include healthier options actually impact diet & nutrition during pregnancy?

First, some background for those of you not familiar with the WIC program.

WIC stands for “Special Supplemental Nutrition Program for Women, Infants, and Children”, and provides vouchers for specific food combos (‘packets’) for low-income pregnant women & kids <5yo in the US.
Read 22 tweets

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