Episodios

  • Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
    Jun 26 2025
    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.
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    53 m
  • Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
    Jun 17 2025

    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.
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    52 m
  • The Art of Clarity with Andrew Heiss | Season 6 Episode 6
    May 29 2025
    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.
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    50 m
  • Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5
    May 8 2025

    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.

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    55 m
  • From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
    Apr 24 2025
    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.
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    45 m
  • Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
    Apr 10 2025

    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.

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    1 h y 22 m
  • Causal Assumptions and Large Language Models | Season 6 Episode 2
    Mar 27 2025

    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.

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    52 m
  • Data Integration for Impact with Len Testa | Season 6 Episode 1
    Feb 28 2025

    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

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    45 m