Podcast
Casual Inference
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. Sponsored by the American Journal of Epidemiology.
- Mathematics chart
- #17
- Episodes
- 78
- Releases
- Every two weeks
- Typical length
- 48 min
- On air since
- 2019
- Latest episode
- 1 day ago
Episodes
78 episodes, newest first
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1 hr 1 min
Regression to the Mean Girls | BART for Baseball with Sameer Deshpande Bonus
Season 1, Episode 10
Show notes
Follow Regression to the Mean Girls on [Apple Podcasts], [Spotify], or wherever you love to listen!
Sameer Deshpande join Sarah Lotspeich and Lucy D'Agostino McGowan with a data-driven side quest into using BART for baseball!
Check out the details here: regressiontothemeangirls.com
Follow along on instagram:
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48 min
Regression to the Mean Girls | Dancing with the Stats with Grayson Weavil, Madeline Merrill, and Wesley Krieger Bonus
Season 1, Episode 9
Show notes
Follow Regression to the Mean Girls on [Apple Podcasts], [Spotify], or wherever you love to listen!
Grayson Weavil, Madeline Merrill, and Wesley Krieger join Sarah Lotspeich and Lucy D'Agostino McGowan with a data-driven side quest into Dancing with the Stars stats.
Follow along on instagram:
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48 min
Regression to the Mean Girls | Mixed Effects, Mixed Signals: Love Island Kissing Scores with Hannah Barton Bonus
Season 1, Episode 7
Show notes
Follow Regression to the Mean Girls on [Apple Podcasts], [Spotify], or wherever you love to listen!
Hannah Barton joins Sarah Lotspeich and Lucy D'Agostino McGowan with a data-driven side quest into Love Island Kissing Scores.
Check out the details here: regressiontothemeangirls.com
Follow along on instagram:
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37 min
Regression to the Mean Girls | Every Man's Causal Inference with Roger Peng Bonus
Season 1, Episode 7
Show notes
Follow Regression to the Mean Girls on [Apple Podcasts], [Spotify], or wherever you love to listen!
Roger Peng joins Sarah Lotspeich and Lucy D'Agostino McGowan with a data-driven side quest into becoming an accidental business man.
Check out the details here: regressiontothemeangirls.com
Follow along on instagram:
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44 min
Regression to the Mean Girls | The Marshmallow Test (Not That One) with Mattan Ben-Shachar Bonus
Season 1, Episode 6
Show notes
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:
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43 min
Regression to the Mean Girls | Election Data Web Scraping with Emily Riederer Bonus
Season 1, Episode 5
Show notes
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:
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40 min
Regression to the Mean Girls | The Art of Web Scraping Art with Hadley Wickham Bonus
Season 1, Episode 4
Show notes
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 SalmonFollow along on instagram:
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1 hr 14 min
Regression to the Mean Girls | The Comfort of Competence and the Speed of Justice, According to Law & Order Bonus
Show notes
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 & OrderFollow along on instagram:
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42 min
Regression to the Mean Girls | The Work is Mysterious and Important: Severance Data Bonus
Season 1, Episode 2
Show notes
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
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57 min
Regression to the Mean Girls | Romance by the Numbers: First Sparks Across Tropes Bonus
Show notes
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/
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53 min
Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
Show notes
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.
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52 min
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
Show notes
Carly Brantner is an assistant professor of Biostatistics & Bioinformatics at Duke University and Duke Clinical Research Institute.
Resources from this episode:
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multicate: R package for estimating conditional average treatment effects across one or more studies using machine learning methods
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PCORnet® Front Door: Access point for potential investigators, patient groups, and other stakeholders to connect with PCORnet and get support for potential research studies
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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.
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50 min
The Art of Clarity with Andrew Heiss | Season 6 Episode 6
Show notes
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.
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55 min
Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5
Show notes
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-claimingFollow along on Bluesky:
• Ellie: @epiellie.bsky.social
• Lucy: @lucystats.bsky.social🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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45 min
From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
Show notes
Vincent Arel-Bundock is a professor at the Université de Montréal, where he studies comparative and international political economy.
• Vincent's website: https://arelbundock.com/
•Vincent's book "Model to Meaning: How to Interpret Statistical Models With marginaleffects for R and Python": https://marginaleffects.com/
Follow along on Bluesky:
• Vincent: @vincentab.bsky.social
• Ellie: @epiellie.bsky.social
• Lucy: @lucystats.bsky.social🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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1 hr 22 min
Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
Show notes
Noah Greifer is a statistical consultant and programmer at Harvard University.
Episode notes:
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WeightIt package: https://ngreifer.github.io/WeightIt/
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MatchIt package: https://kosukeimai.github.io/MatchIt/
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Noah's awesome Stack Exchange post: https://stats.stackexchange.com/a/544958
Follow along on Bluesky:
• Noah: @noahgreifer.bsky.social
• Ellie: @EpiEllie.bsky.social
• Lucy: @LucyStats.bsky.social🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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52 min
Causal Assumptions and Large Language Models | Season 6 Episode 2
Show notes
Lucy and Ellie chat about large language models, chat interfaces, and causal inference.
• Do LLMs Act as Repositories of Causal Knowledge?: https://arxiv.org/html/2412.10635v1
Follow along on Twitter:
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The American Journal of Epidemiology: @AmJEpi
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Ellie: @EpiEllie
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Lucy: @LucyStats
🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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45 min
Data Integration for Impact with Len Testa | Season 6 Episode 1
Show notes
Lucy chats with Len Testa about a recent analysis he did which combined over 150 publicly available data sources to answer a question about the affordability of Disney World.
• Len's Deep Dive Post on the Touring Plans Blog [Blog Post]
• Wall Street Journal Artcile, "Even Disney Is Worried About the High Cost of a Disney Vacation" [Article]Follow along on Bluesky:
•
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Ellie: @EpiEllie.bsky.social
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Lucy: @LucyStats.bsky.social
🎶 Our intro/outro music is courtesy of Joseph McDade
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48 min
Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11
Show notes
Alyssa Bilinski, Peterson Family Assistant Professor of Health Policy, and Assistant Professor of Biostatistics, at Brown University School of Public Health. Her research focuses on developing novel methods for policy evaluation and applying these to identify interventions that most efficiently improve population health and well-being.
Episode notes:
•
PNAS paper: https://www.pnas.org/doi/full/10.1073/pnas.2302528120
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Shuo Feng's pre-print: https://www.medrxiv.org/content/10.1101/2024.04.08.24305335v1
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Our uncertainty paper: https://pubmed.ncbi.nlm.nih.gov/33475686/
Follow along on Twitter:
• Alyssa: @ambilinski
•The American Journal of Epidemiology: @AmJEpi
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Ellie: @EpiEllie
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Lucy: @LucyStats
🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp
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39 min
Flexible methods with Edward Kennedy | Season 5 Episode 10
Show notes
Edward Kennedy Associate Professor, Department of Statistics & Data Science, Carnegie Mellon.
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Evaluating a Targeted Minimum Loss-Based Estimator for Capture-Recapture Analysis: An Application to HIV Surveillance in San Francisco, California: https://academic.oup.com/aje/article/193/4/673/7425624
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Doubly Robust Capture-Recapture Methods for Estimating Population Size: https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2187814
Follow along on Twitter:
•
The American Journal of Epidemiology: @AmJEpi
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Ellie: @EpiEllie
•
Lucy: @LucyStats
🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp
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