Casual Inference

Follow Regression to the Mean Girls on [⁠Apple Podcasts⁠], [⁠Spotify⁠], or wherever you love to listen!

Christine Zhang⁠ (⁠New York Times⁠) joins ⁠⁠⁠Sarah Lotspeich⁠⁠⁠ and ⁠⁠⁠Lucy D'Agostino McGowan⁠⁠⁠⁠ with a data-driven side quest into the TV show Law and Order. 

Check out the full analysis here: ⁠⁠⁠regressiontothemeangirls.com⁠⁠⁠

Links to content we chat about on the episode:
⁠Wrong Number newsletter⁠
⁠The Speed of Justice, According to Law & Order⁠

Follow along on instagram: 
⁠@regressiontothemeangirls

Follow Regression to the Mean Girls on [Apple Podcasts], [Spotify], or wherever you love to listen!

⁠Lucy D'Agostino McGowan⁠⁠ and ⁠⁠Sarah Lotspeich⁠⁠ return with a data-driven side quest into the TV show Severance. Lucy analyzes whether Milchick really uses more complicated language than his colleagues.

Check out the full analysis here: ⁠⁠regressiontothemeangirls.com⁠⁠

Links to content we chat about on the episode:
⁠⁠Lucy's Severance data R package [mdr]⁠⁠
⁠⁠Lucy's other Severance analyses⁠⁠
⁠⁠Dunnet⁠⁠
⁠⁠Radial plot of who is speaking in Severance ⁠⁠

Follow along on instagram: 
@regressiontothemeangirls

Sarah Lotspeich⁠ and ⁠Lucy D'Agostino McGowan⁠ introduce Regression to the Mean Girls, a podcast about data-driven side quests in pop culture. In this episode, Sarah analyzes 45 recent romance novels to find out how different romance tropes affect the timing of the couple’s first kiss.
Check out the full analysis here: ⁠https://regressiontothemeangirls.com/⁠

Links to content we chat about on the episode:
⁠Edward L. Kaplan and the Kaplan-Meier Survival Curve⁠
⁠Nonparametric Estimation from Incomplete Observations⁠
⁠Not just love, actually: why romance fiction is booming⁠
⁠What is the lipstick index?⁠

Follow along on instagram:
@regressiontothemeansgirls

Podcast feed: https://creators.spotify.com/pod/profile/rttmg/

Emily Riederer is a Data Science Senior Manager at Credit Risk Modeling Capital One. Her website can be found here: https://www.emilyriederer.com/
 
Follow along on Bluesky:
Emily: ‪@emilyriederer.bsky.social‬
Ellie: @epiellie.bsky.social
Lucy: @lucystats.bsky.social

 
🎶 Our intro/outro music is courtesy of Joseph McDade.
Edited by Cameron Bopp.

Carly Brantner is an assistant professor of Biostatistics & Bioinformatics at Duke University and Duke Clinical Research Institute.
Resources from this episode:
multicate: R package for estimating conditional average treatment effects across one or more studies using machine learning methods

PCORnet® Front Door: Access point for potential investigators, patient groups, and other stakeholders to connect with PCORnet and get support for potential research studies

Patient-Centered Outcomes Data Repository (PDOCR): De-identified data from 24 (and counting) PCORI-funded studies

Follow along on Bluesky:
Carly: @carlybrantner.bsky.social
Ellie: @epiellie.bsky.social
Lucy: @lucystats.bsky.social

 
🎶 Our intro/outro music is courtesy of Joseph McDade.
Edited by Cameron Bopp.