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Casual Inference

Casual Inference

By: Lucy D’Agostino McGowan and Ellie Murray
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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. In partnership with the American Journal of Epidemiology.2021 Mathematics Science
Episodes
  • 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 mins
  • 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.
    Show More Show Less
    52 mins
  • 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.
    Show More Show Less
    50 mins

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