68 episodios
- 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. Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
17/06/2025 | 52 minCarly 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.- 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. Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5
08/05/2025 | 55 minIn 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.- 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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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.
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