Causal inference for data science with Sean Taylor

What this episode covers

Ellie Murray and Lucy D'Agostino McGowan chat with Sean Taylor from Lyft. Here are some links to the content we talk about in this episode: 📝 Sean's Science paper 📦 Prophet R package 📝 Book on time-varying exposures 📝 Lyft engineering blog 📝 Hormone replacement therapy overview 📝 Analyzing observational HRT data by emulating a trial 📰 Local news AJE Methods Corner Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Sean: @SeanJTaylor 🎶 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 29 minutes long.

When was this Casual Inference episode published?

This episode was published on February 20, 2020.

What is this episode about?

Ellie Murray and Lucy D'Agostino McGowan chat with Sean Taylor from Lyft. Here are some links to the content we talk about in this episode: 📝 Sean's Science paper 📦 Prophet R package 📝 Book on time-varying exposures 📝 Lyft engineering blog...

Can I download this Casual Inference episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.