Causal inference for data science with Sean Taylor | Episode 08
Casual Inference
English - February 20, 2020 11:00 - 1 hour - 68.6 MB - ★★★★★ - 99 ratingsScience datascience epidemiology inference statistics Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Asking harder causal questions with Whitney Robinson
Next Episode: Coronavirus Conversations
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 CornerFollow 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.