Causal inference for data science with Sean Taylor | Episode 08

from Casual Inference · host Lucy D'Agostino McGowan and Ellie Murray

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.

Episode metadata supplied by the publisher feed · Published Feb 20, 2020

Embed this episode

Attribution link and audio player

NOW PLAYING

Causal inference for data science with Sean Taylor | Episode 08

0:00 1:29:46

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

No similar podcasts found.

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.

Can I download this Casual Inference episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!