Casual Inference

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 in...

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 inst...

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...

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 instagr...

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...

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: ⁠ Wr...

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...

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 abou...

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...

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...

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 be...

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: @epiel...

Noah Greifer is a statistical consultant and programmer at Harvard University. Episode notes: WeightIt package:  https://ngreifer. github.io/WeightIt/ MatchIt package: https://kosukeimai. github.io/MatchIt/ 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...

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: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade . Edited by Cameron Bopp .

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: Len: @lentesta.bsky.social Ellie...

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/10.10...

Edward Kennedy Associate Professor, Department of Statistics & Data Science, Carnegie Mellon. ehkennedy.com 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 Doubly Robust Capture-Recapture Methods for Estimating Population Size: https://www.tandf...

Sheree Bekker & Stephen Mumford are Co-directors of the Feminist Sport Lab and have a book coming soon: "Open Play: the case for feminist sport", coming Spring 2025. Reaktion Books (UK), University of Chicago Press (US). Sheree Bekker: Associate Professor, University of Bath, Department for Health , Centre for Qualitative Research Centre for Health and Injury and Illness Prevention in Sport Stephe...

Erick Scott is founder of cStructure, a causal science startup. Erick has expertise in medicine, public health, and computational biology. info@cStructure.io "A causal roadmap for generating high-quality real-world evidence" https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603361/ Follow along on Twitter: The American Journal of Epidemiology:  @AmJEpi Ellie:  @EpiEllie Lucy:  @LucyStats 🎶 Our intro...

Nima Hejazi is an assistant professor in biostatistics at Harvard University. His methodological work often draws upon tools and ideas from semi- and non-parametric inference, high-dimensional and large-scale inference, targeted or debiased machine learning (e.g., targeted minimum loss estimation, method of sieves), and computational statistics. Surprised by the Hot Hand Fallacy? A Truth in the La...

Aaditya Ramdas is an assistant professor at Carnegie Mellon University, in the Departments of Statistics and Machine Learning. His research interests include game-theoretic statistics and sequential anytime-valid inference, multiple testing and post-selection inference, and uncertainty quantification for machine learning (conformal prediction, calibration). His applied areas of interest include ne...

Ingrid is a doctoral student in Epidemiology at the Dalla Lana School of Public Health at the University of Toronto.  Winning cookie recipe Follow along on Twitter: The American Journal of Epidemiology:  @AmJEpi Ellie:  @EpiEllie Lucy:  @LucyStats 🎶 Our intro/outro music is courtesy of  Joseph McDade Edited by  Cameron Bopp

Nick Huntington-Klein is an Assistant Professor, Department of Economics, Albers School of Business and Economics, Seattle University. His research focus is econometrics, causal inference, and higher education policy. He's also the author of an introductory causal inference textbook called The Effect and the creator of a number of Stata packages for implementing causal effect estimation procedures...

Lucy and Ellie chat about immortal time bias, discussing a new paper Ellie co-authored on clone-censor-weights.  The Clone-Censor-Weight Method in Pharmacoepidemiologic Research: Foundations and Methodological Implementation: https://link.springer.com/article/10.1007/s40471-024-00346-2   Immortal time in pregnancy: https://pubmed.ncbi.nlm.nih.gov/36805380/   Follow along on Twitter: The American J...