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matheusfacure / python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
https://matheusfacure.github.io/python-causality-handbook/landing-page.html
MIT License
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Typo on page /18-Heterogeneous-Treatment-Effects-and-Personalization.html #311

Closed vhomello closed 1 year ago

vhomello commented 1 year ago

There is a typo here

So far, we’ve every time we’ve estimated the causal impact of a treatment, it was the average treatment effect (or, sometime, the local average treatment effect):

I think it should be something like this

So far, every time we’ve estimated the causal impact of a treatment, it was the average treatment effect (or, sometime, the local average treatment effect):