PODCAST · science
Casual Inference
by Lucy D'Agostino McGowan and Ellie Murray
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.
Episodes
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Regression to the Mean Girls | Every Man's Causal Inference with Roger Peng
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...
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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…
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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…
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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...
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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…
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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], [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...
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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...
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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...
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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...
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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:...
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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...
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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 Statistical Models With marginaleffects for R and Python":...
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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 post: https://stats.stackexchange.com/a/544958 Follow along on...
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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: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro...
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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] Wall Street Journal Artcile, "Even Disney Is Worried About the...
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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 applying these to identify interventions that most efficiently...
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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 Francisco, California:...
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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: Associate Professor, University of Bath, Department for…
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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. [email protected] "A causal roadmap for generating high-quality real-world evidence" https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603361/ Follow along on...
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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 machine learning (e.g., targeted minimum loss…
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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 and post-selection inference, and uncertainty...
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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: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade...
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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 of an introductory causal inference textbook called The...
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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.springer.com/article/10.1007/s40471-024-00346-2 Immortal…
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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 dimensional data from randomized clinical trials or...
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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 jargon!) Pros & Cons of RCT paper: Fernainy, P., Cohen,...
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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 have developed and forward at where they see the world of...
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Evidence Science with Cat Hicks | Season 4 Episode 11
Ellie and Lucy chat with Dr. Cat Hicks, VP of Research Insights and Director of Developer Success Lab at Pluralsight Flow, about evidence science. Follow along on Twitter: Cat: @grimalkina The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is...
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M-Bias: Much Ado About Nothing? | Season 4 Episode 10
Lucy D'Agostino McGowan and Ellie Murray chat about a "Causal Quartet" and spend some extra time on M-Bias! Lucy, Travis, & Malcom's Causal Quartet Paper Lucy's quartets R package Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our...
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Thinking about Targeted Learning | Season 4 Episode 9
Lucy D'Agostino McGowan and Ellie Murray chat about ENAR 2023 and Targeted Learning! Targeted Learning in R Handbook 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 Quinn Rose:...
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Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8
Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Viktoria Gastens! Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Viktoria: @VikiGastens Viktoria's Lab: @PopHealthLabCH Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of...
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Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
Lucy D'Agostino McGowan and Ellie Murray chat about confounding! ✍️ Lucy's new paper: Sensitivity Analyses for Unmeasured Confounders Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade…
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Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6
Lucy D'Agostino McGowan and Ellie Murray chat about randomized controlled trials, thinking about efficacy vs effectiveness and saftey vs safetiness. ✍️ Frank Harrell's blog post "Randomized Clinical Trials Do Not Mimic Clinical Practice, Thank Goodness" Follow along on Twitter: The American…
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The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5
Lucy D'Agostino McGowan and Ellie Murray chat with Maria Glymour, Professor of Epidemiology & Biostatstics at UCSF and incoming chair of the Department of Epidemiology at Boston University. Maria successfully convinces Ellie and Lucy that instrumental variables can be very useful in epidemiology....
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Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4
Lucy D'Agostino McGowan and Ellie Murray chat about critiquing methods research, average treatment effects, and positivity violations! Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade
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Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3
Lucy D'Agostino McGowan and Ellie Murray chat with Travis Gerke, Director of Data Science at The Prostate Cancer Clinical Trials Consortium (PCCTC). This episode has lots of hot takes and lots of love for logistic regression! Follow along on Twitter: Travis Gerke: @travisgerke The American…
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Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2
Lucy D'Agostino McGowan and Ellie Murray chat about counterfactuals! 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 Quinn Rose: aspiringrobot.com
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Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1
In this episode Ellie Murray and Lucy D'Agostino McGowan chat with Enrique Schisterman, Perelman Professor and Chair of the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania, about the future of epidemiology. Follow along on Twitter: Enrique:...
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What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13
In this episode we play the audio from a recent panel discussion co-sponsored by UNC TraCS, Duke University and Wake Forest U CTSA Biostatistics, Epidemiology and Research Design (BERD) Cores. The panelists were Charles Poole (Associate Professor of Epidemiology, UNC) Lucy D'Agostino McGowan, and...
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It Depends with Sander Greenland | Season 3 Episode 12
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Sander Greenland, Emeritus Professor of Epidemiology and Statistics at UCLA. Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph...
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The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Toyya Pujol, Operations Researcher at RAND Corporation. Follow along on Twitter: Toyya: @toyyapujol The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats
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The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Maggie Makar, Presidential postdoctoral fellow and assistant professor in Computer Science and Engineering at the University of Michigan. Follow along on Twitter: Maggie: @Maggiemakar The American Journal of Epidemiology: @AmJEpi...
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Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Judea Pearl, Chancellor professor of computer science and statistics at the University of California, Los Angeles. 📄 Judea's recent papers 📖 Book of Why Follow along on Twitter: Judea: @yudapearl The American Journal of...
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The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Chris Schaich about the epidemiologist John Snow. Dr. Schaich is an assistant professor at Wake Forest School of Medicine in the Hypertension and Vascular Research Center. Follow along on Twitter…
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Asking questions that matter, getting answers that help | Season 3 Episode 7
In this episode Lucy D'Agostino McGowan and Ellie Murray chat about their Spotify Wrapped for Casual Inference, and Ellie Murray talks about causal inference for complex data with the University of Minnesota's epidemiology department. Follow along on Twitter: The American Journal of Epidemiology:...
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A Casual Look at Causal Inference History | Season 3 Episode 6
In this episode Lucy D'Agostino McGowan and Ellie Murray chat about the history of causal inference, tracing the origins across disciplines from statistics to economics, epidemiology, and computer science, discussing contributions from Rubin, Robins, Pearl, and more! Follow along on Twitter: The...
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Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Hilary Parker about design thinking for data analysis, the Dunning-Kruger effect, and the potential data behind baby Yoda. Follow along on Twitter: Hilary: @hspter The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie…
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Metascience with Noah Haber | Season 3 Episode 4
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Noah Haber about metascience, causal language in the literature, and more! 🥇 Causal Inference Nobel Prize Press Release 📝 Causal and Associational Linking Language From Observational Research and Health Evaluation Literature in...
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Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Len Testa, president of TouringPlans, about solving optimization problems in travel and healthcare. 📦 Lucy's R package with touringplans data Len's slide on model choices: Follow along on Twitter: Len: @LenTesta The American...
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Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Ashley Buchanan about causal inference with a focus on networks. Dr. Buchanan is an assistant professor of Biostatistics in the Department of Pharmacy Practice at the University of Rhode Island. 🔗 Dr. Buchanan's website Follow...
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ABOUT THIS SHOW
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.
HOSTED BY
Lucy D'Agostino McGowan and Ellie Murray
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Frequently Asked Questions
How many episodes does Casual Inference have?
Casual Inference currently has 74 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is Casual Inference about?
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.
How often does Casual Inference release new episodes?
Casual Inference has 74 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to Casual Inference?
You can listen to Casual Inference on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts Casual Inference?
Casual Inference is created and hosted by Lucy D'Agostino McGowan and Ellie Murray.
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