Fairness in Machine Learning with Sherri Rose

What this episode covers

Ellie Murray and Lucy D'Agostino McGowan chat with Sherri Rose from the Department of Health Care Policy at Harvard Medical School. Here are some links to the content we talk about in this episode: 📄 Paper by Anna Zink and Sherri Rose: Fair Regression for Health Care Spending 📄 The Blessing of Multiple Causes 📄 Dissecting racial bias in an algorithm used to manage the health of populations 📚 Sherri's books on targeted learning 🔗 Sherri's website: drsherrirose.org🔗 Data for Black lives: d4bl.org👏 What we're is enjoying this week: baby Yoda 📰 Our local news: American Journal of Epidemiology article: a machine learning primer for epidemiologists PeDAGogy segment: In this weeks segment, Ellie describes a collider! Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Sherri: @sherrirose 🎶 Our intro/outro music is courtesy of Joseph McDade.👩‍🎨 Our artwork is by Allison Horst.

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Frequently Asked Questions

How long is this episode of Casual Inference?

This episode is 1 hour and 8 minutes long.

When was this Casual Inference episode published?

This episode was published on December 5, 2019.

What is this episode about?

Ellie Murray and Lucy D'Agostino McGowan chat with Sherri Rose from the Department of Health Care Policy at Harvard Medical School. Here are some links to the content we talk about in this episode: 📄 Paper by Anna Zink and Sherri Rose: Fair...

Can I download this Casual Inference episode?

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