Casual Inference

Casual Inference

By Lucy D'Agostino McGowan and Ellie MurrayScienceMathematics
Download on the App Store

Casual Inference episodes

  • 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
    • PCORnet® Front Door: Access point for potential investigators, patient groups, and other stakeholders to connect with PCORnet and get support for potential research studies
    • 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.
    53 min
  • 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: 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.
    50 min
  • 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 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-claiming

     

    Follow along on Bluesky:

    • Ellie: @epiellie.bsky.social
    • Lucy: @lucystats.bsky.social

     

    🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.

    56 min
  • 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": 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.
    46 min
  • 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 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.

     

     

     

    1 hr 23 min
  • 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 music is courtesy of Joseph McDade. Edited by Cameron Bopp.

    52 min
  • 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 High Cost of a Disney Vacation" [Article]

    Follow along on Bluesky:

    • Len: @lentesta.bsky.social

    • Ellie: @EpiEllie.bsky.social

    • Lucy: @LucyStats.bsky.social

    🎶 Our intro/outro music is courtesy of Joseph McDade

    45 min
  • 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 improve population health and well-being.

    Episode notes:

    • PNAS paper: https://www.pnas.org/doi/full/10.1073/pnas.2302528120

    • Shuo Feng's pre-print: https://www.medrxiv.org/content/10.1101/2024.04.08.24305335v1

    • Our uncertainty paper: https://pubmed.ncbi.nlm.nih.gov/33475686/

    Follow along on Twitter:

    • Alyssa: @ambilinski
    • The American Journal of Epidemiology: @AmJEpi

    • Ellie: @EpiEllie

    • Lucy: @LucyStats

    🎶 Our intro/outro music is courtesy of Joseph McDade
    Edited by Cameron Bopp

    49 min
  • 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: https://academic.oup.com/aje/article/193/4/673/7425624

    • 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

    • Ellie: @EpiEllie

    • Lucy: @LucyStats

    🎶 Our intro/outro music is courtesy of Joseph McDade
    Edited by Cameron Bopp

    39 min
  • 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 Health,

    • Centre for Qualitative Research

    • Centre for Health and Injury and Illness Prevention in Sport

    Stephen Mumford, Professor of Metaphysics, Durham University  A

    • 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).
    • Feminist Sport Lab: https://www.feministsportlab.com

    • Causation: A Very Short Introduction by Stephen Mumford & Rani Lill Anjum: https://academic.oup.com/book/616

    • Faye Norby, Iditarod champion & epidemiologist: https://www.kfyrtv.com/2024/03/28/faye-norby-finishes-iditarod-trail-womens-foot-champion/?outputType=amp 

    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

    50 min

About Casual Inference

From the publisher's feed

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.…

More shows like Casual Inference

Freakonomics Radio by Freakonomics Radio + Stitcher

Freakonomics Radio

31,918 Listeners

Planet Money by NPR

Planet Money

30,652 Listeners

EconTalk by Russ Roberts

EconTalk

4,271 Listeners

Data Skeptic by Kyle Polich

Data Skeptic

479 Listeners

The Quanta Podcast by Quanta Magazine

The Quanta Podcast

543 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

303 Listeners

DataFramed by DataCamp

DataFramed

265 Listeners

Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas by Sean Carroll

Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

4,171 Listeners

Practical AI by Daniel Whitenack and Chris Benson

Practical AI

212 Listeners

Daniel and Kelly’s Extraordinary Universe by iHeartPodcasts

Daniel and Kelly’s Extraordinary Universe

2,360 Listeners

The Numberphile Podcast by Brady Haran

The Numberphile Podcast

456 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

97 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

552 Listeners

Hard Fork by The New York Times

Hard Fork

5,554 Listeners

The Joy of Why by Steven Strogatz, Janna Levin and Quanta Magazine

The Joy of Why

515 Listeners