Casual Inference

Casual Inference

By Lucy D'Agostino McGowan and Ellie MurrayScienceMathematics
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Casual Inference episodes

  • Regression to the Mean Girls | The Marshmallow Test (Not That One) with Mattan Ben-Shachar

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


    Mattan Ben-Shachar⁠ joins ⁠⁠⁠⁠⁠⁠⁠⁠Sarah Lotspeich⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠Lucy D'Agostino McGowan⁠⁠⁠⁠⁠⁠⁠⁠⁠ with a data-driven side quest into whether different colored marshmallows taste different. 

    *Be sure to listen to the end for a surprising addendum!


    Check out the full process here: ⁠⁠⁠⁠⁠⁠⁠⁠regressiontothemeangirls.com⁠⁠⁠⁠⁠⁠⁠⁠

    Follow along on instagram: 

    ⁠⁠⁠⁠⁠⁠@regressiontothemeangirls⁠⁠

    44 min
  • Regression to the Mean Girls | Election Data Web Scraping with Emily Riederer

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


    ⁠Emily Riederer⁠⁠⁠⁠⁠ (Capital One) joins ⁠⁠⁠⁠⁠⁠⁠Sarah Lotspeich⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠Lucy D'Agostino McGowan⁠⁠⁠⁠⁠⁠⁠⁠ with a data-driven side quest into scraping election data. 


    Check out the full process here: ⁠⁠⁠⁠⁠⁠⁠regressiontothemeangirls.com⁠⁠⁠⁠⁠⁠⁠

    Follow along on instagram: 

    ⁠⁠⁠⁠⁠@regressiontothemeangirls⁠⁠⁠

    43 min
  • Regression to the Mean Girls | The Art of Web Scraping Art with Hadley Wickham

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


    ⁠Hadley Wickham⁠ (Posit) joins ⁠⁠⁠⁠⁠Sarah Lotspeich⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠Lucy D'Agostino McGowan⁠⁠⁠⁠⁠⁠ with a data-driven side quest into building a web scraper to help acquire art. 


    Check out the full process here: ⁠⁠⁠⁠⁠regressiontothemeangirls.com⁠⁠⁠⁠⁠


    Links to content we chat about on the episode:

    • ⁠⁠⁠Weston Lambert Art⁠
    • ⁠Parallel strands between learning crochet and learning programming by Maëlle Salmon⁠


    Follow along on instagram: 

    ⁠⁠⁠@regressiontothemeangirls⁠

    40 min
  • Regression to the Mean Girls | The Comfort of Competence and the Speed of Justice, According to Law & Order

    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

    1 hr 14 min
  • Regression to the Mean Girls | The Work is Mysterious and Important: Severance Data

    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

    43 min
  • Regression to the Mean Girls | Romance by the Numbers: First Sparks Across Tropes

    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/

    57 min
  • Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
    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.
    53 min
  • Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7

    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.
    53 min
  • The Art of Clarity with Andrew Heiss | Season 6 Episode 6
    Andrew Heiss is an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University.
    • Vincent's "What is your estimand" section in his {marginaleffects} book: https://marginaleffects.com/chapters/challenge.html#sec-goals_estimand
    • Article on defining estimands: https://doi.org/10.1177/00031224211004187
    • Andrew's marginal effects post: https://www.andrewheiss.com/blog/2022/05/20/marginalia/
    • Andrew's post on "fixed effects" and mariginal effects across different disciplines: https://www.andrewheiss.com/blog/2022/11/29/conditional-marginal-marginaleffects/
    Follow along on Bluesky:
    • Andrew: @andrew.heiss.phd
    • Ellie: @epiellie.bsky.social
    • Lucy: @lucystats.bsky.social
      🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
    50 min
  • Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5

    In this episode Lucy and Ellie dig into a recently publicized paper, "Vaccination and Neurodevelopmental Disorders: A Study of Nine-Year-Old Children Enrolled in Medicaid", which has gained attention after being promoted by RFK Jr. as evidence that vaccines cause autism.   

    Ellie breaks down her Substack critique of the study. Together, she and Lucy discuss the methodological flaws and what a better version of this study might look like.  

    • Vaccination and Neurodevelopmental Disorders: A Study of Nine-Year-Old Children Enrolled in Medicaid: https://publichealthpolicyjournal.com/vaccination-and-neurodevelopmental-disorders-a-study-of-nine-year-old-children-enrolled-in-medicaid/
    • RFK Jr is promoting a new study claiming "vaccines cause autism" but it doesn't add up. Literally [Ellie's substack]: https://epiellie.substack.com/p/rfk-jr-is-promoting-a-new-study-claiming

     

    Follow along on Bluesky:

    • Ellie: @epiellie.bsky.social
    • Lucy: @lucystats.bsky.social

     

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

    56 min

About Casual Inference

From the publisher's feed

Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health.…

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