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- gesternletzte Folge
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.
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Regression to the Mean Girls | BART for Baseball with Sameer Deshpande
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Regression to the Mean Girls | Dancing with the Stats with Grayson Weavil, Madeline Merrill, and Wesley Krieger
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Regression to the Mean Girls | Mixed Effects, Mixed Signals: Love Island Kissing Scores with Hannah Barton
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Regression to the Mean Girls | Every Man's Causal Inference with Roger Peng
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Regression to the Mean Girls | The Marshmallow Test (Not That One) with Mattan Ben-Shachar
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Regression to the Mean Girls | Election Data Web Scraping with Emily Riederer
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Regression to the Mean Girls | The Art of Web Scraping Art with Hadley Wickham
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Regression to the Mean Girls | The Comfort of Competence and the Speed of Justice, According to Law & Order
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Regression to the Mean Girls | The Work is Mysterious and Important: Severance Data
Follow Regression to the Mean Girls on [Apple Podcasts (https://podcasts.apple.com/us/podcast/regression-to-the-mean-girls/id6807111816)], [Spotify (https://open.spotify.com/show/6L5PaIieWX4uNz06tCPcKp)], or wherever you love to listen! Lu
Regression to the Mean Girls | Romance by the Numbers: First Sparks Across Tropes
Sarah Lotspeich (https://www.sarahlotspeich.com/) and Lucy D'Agostino McGowan (https://www.lucymcgowan.com/) introduce Regression to the Mean Girls, a podcast about data-driven side quests in pop culture. In this episode, Sarah analyzes
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
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 acr
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: ht
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 evide
From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
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 Statisti
Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
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
Causal Assumptions and Large Language Models | Season 6 Episode 2
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:
Data Integration for Impact with Len Testa | Season 6 Episode 1
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] • Wa
Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11
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 applyin
Flexible methods with Edward Kennedy | Season 5 Episode 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 Fra
What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9
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: Asso
Observational Causal Analyses with Erick Scott | Season 5 Episode 8
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
Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7
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
Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6
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
Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5
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:
Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4
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 o
Immortal Time Bias | Season 5 Episode 3
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.
Targeted Learning with Mar van der Laan | Season 5 Episode 2
Mark van der Laan is a professor of statistics at the University of California, Berkeley. His research focuses on developing statistical methods to estimate causal and non-causal parameters of interest, based on potentially complex and high
Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1
Ellie and Lucy kick off the season and introduce our new executive buzzer, Melita! Melita is a masters student in statistics at Wake Forest University and will be helping out with the podcast (and keeping Lucy and Ellie from using too much
Remembering Ralph B. D'Agostino, Sr.
We are re-releasing an episode from 2021 in remembrance of Ralph D'Agostino, Sr. Ellie Murray and Lucy D'Agostino McGowan chat with Ralph D'Agostino Sr. and Ralph D'Agostino Jr. about their careers in statistics, looking back at how things
