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.

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. <ul> <li>Len's Deep Dive Post on the Touring Plans Blog [<a href= "https://touringplans.com/blog/how-much-disney-can-americas-middle-class-afford-in-2025/" target="_blank" rel="noopener">Blog Post</a>]</li> <li>Wall Street Journal Artcile, "Even Disney Is Worried About the High Cost of a Disney Vacation" [<a href= "https://www.wsj.com/business/disney-parks-price-hikes-consumers-0bf4dbd6" target="_blank" rel="noopener">Article</a>]</li> </ul> Follow along on Bluesky: <ul> <li dir="ltr" aria-level="1"> Len: <a href= "https://bsky.app/profile/lentesta.bsky.social" target="_blank" rel="noopener">@lentesta.bsky.social</a> </li> <li dir="ltr" aria-level="1"> Ellie: <a href= "https://bsky.app/profile/epiellie.bsky.social">@EpiEllie.bsky.social</a> </li> <li dir="ltr" aria-level="1"> Lucy: <a href= "https://bsky.app/profile/lucystats.bsky.social" target="_blank" rel="noopener">@LucyStats.bsky.social</a> </li> </ul> 🎶 Our intro/outro music is courtesy of <a href= "https://josephmcdade.com/music">Joseph McDade</a>

Casual Inference

Data Integration for Impact with Len Testa | Season 6 Episode 1

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: <ul> <li dir="ltr" aria-level="1"> PNAS paper: <a href= "https://www.pnas.org/doi/full/10.1073/pnas.2302528120">https://www.pnas.org/doi/full/10.1073/pnas.2302528120</a> </li> <li dir="ltr" aria-level="1"> Shuo Feng’s pre-print: <a href= "https://www.medrxiv.org/content/10.1101/2024.04.08.24305335v1">https://www.medrxiv.org/content/10.1101/2024.04.08.24305335v1</a> </li> <li dir="ltr" aria-level="1"> Our uncertainty paper: <a href= "https://pubmed.ncbi.nlm.nih.gov/33475686/">https://pubmed.ncbi.nlm.nih.gov/33475686/</a> </li> </ul> Follow along on Twitter: <ul> <li dir="ltr" aria-level="1">Alyssa: <a href= "https://twitter.com/ambilinski" target="_blank" rel= "noopener">@ambilinski</a></li> <li dir="ltr" aria-level="1"> The American Journal of Epidemiology: <a href= "https://twitter.com/amjepi">@AmJEpi</a> </li> <li dir="ltr" aria-level="1"> Ellie: <a href= "https://twitter.com/epiellie">@EpiEllie</a> </li> <li dir="ltr" aria-level="1"> Lucy: <a href= "https://twitter.com/lucystats">@LucyStats</a> </li> </ul> 🎶 Our intro/outro music is courtesy of <a href= "https://josephmcdade.com/music">Joseph McDade </a>Edited by <a href="http://cambopp.com">Cameron Bopp</a>

Starting the Conversation on Models with Alyssa Bilinski

Edward Kennedy Associate Professor, Department of Statistics & Data Science, Carnegie Mellon. Episode notes: <ul> <li dir="ltr" aria-level="1"> <a href= "http://ehkennedy.com">ehkennedy.com</a> </li> <li dir="ltr" aria-level="1"> Evaluating a Targeted Minimum Loss-Based Estimator for Capture-Recapture Analysis: An Application to HIV Surveillance in San Francisco, California: <a href= "https://academic.oup.com/aje/article/193/4/673/7425624">https://academic.oup.com/aje/article/193/4/673/7425624</a> </li> <li dir="ltr" aria-level="1"> Doubly Robust Capture-Recapture Methods for Estimating Population Size: <a href= "https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2187814"> https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2187814</a> </li> </ul> Follow along on Twitter: <ul> <li dir="ltr" aria-level="1"> The American Journal of Epidemiology: <a href= "https://twitter.com/amjepi">@AmJEpi</a> </li> <li dir="ltr" aria-level="1"> Ellie: <a href= "https://twitter.com/epiellie">@EpiEllie</a> </li> <li dir="ltr" aria-level="1"> Lucy: <a href= "https://twitter.com/lucystats">@LucyStats</a> </li> </ul> 🎶 Our intro/outro music is courtesy of <a href= "https://josephmcdade.com/music">Joseph McDade </a>Edited by <a href="http://cambopp.com/">Cameron Bopp</a>

Flexible methods with Edward Kennedy

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, <a href= "https://researchportal.bath.ac.uk/en/organisations/department-for-health"> Department for Health</a>, <ul> <li dir="ltr" aria-level="1"> <a href= "https://researchportal.bath.ac.uk/en/organisations/centre-for-qualitative-research"> Centre for Qualitative Research</a> </li> <li dir="ltr" aria-level="1"> <a href= "https://researchportal.bath.ac.uk/en/organisations/centre-for-health-and-injury-and-illness-prevention-in-sport"> Centre for Health and Injury and Illness Prevention in Sport</a> </li> </ul> Stephen Mumford, Professor of Metaphysics, <a href= "https://scholar.google.com/citations?view_op=view_org&hl=en&org=17015358627987574610"> Durham University</a>  A <ul> <li dir="ltr">Author of Dispositions (Oxford, 1998), Russell on Metaphysics (Routledge, 2003), Laws in Nature (Routledge, 2004), David Armstrong (Acumen, 2007), Watching Sport: Aesthetics, Ethics and Emotion (Routledge, 2011), Getting Causes from Powers (Oxford, 2011 with Rani Lill Anjum), Metaphysics: a Very Short Introduction (Oxford, 2012) and Causation: a Very Short Introduction (Oxford, 2013 with Rani Lill Anjum). I was editor of George Molnar's posthumous Powers: a Study in Metaphysics (Oxford, 2003) and Metaphysics and Science (Oxford, 2013 with Matthew Tugby).</li> </ul> Episode notes: <ul> <li dir="ltr" aria-level="1"> Feminist Sport Lab: <a href= "https://www.feministsportlab.com/our-team">https://www.feministsportlab.com</a> </li> <li dir="ltr" aria-level="1"> Causation: A Very Short Introduction by Stephen Mumford & Rani Lill Anjum: <a href= "https://academic.oup.com/book/616">https://academic.oup.com/book/616</a> </li> <li dir="ltr" aria-level="1"> Faye Norby, Iditarod champion & epidemiologist: <a href= "https://www.kfyrtv.com/2024/03/28/faye-norby-finishes-iditarod-trail-womens-foot-champion/?outputType=amp"> https://www.kfyrtv.com/2024/03/28/faye-norby-finishes-iditarod-trail-womens-foot-champion/?outputType=amp</a>  </li> </ul> Follow along on Twitter: <ul> <li dir="ltr" aria-level="1"> The American Journal of Epidemiology: <a href= "https://twitter.com/amjepi">@AmJEpi</a> </li> <li dir="ltr" aria-level="1"> Ellie: <a href= "https://twitter.com/epiellie">@EpiEllie</a> </li> <li dir="ltr" aria-level="1"> Lucy: <a href= "https://twitter.com/lucystats">@LucyStats</a> </li> </ul> 🎶 Our intro/outro music is courtesy of <a href= "https://josephmcdade.com/music">Joseph McDade </a>Edited by <a href="http://cambopp.com/">Cameron Bopp</a>

Lucy D'Agostino McGowan and Ellie Murray

Casual Inference by Lucy D'Agostino McGowan and Ellie Murray

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