Casual Inference
A podcast by Lucy D'Agostino McGowan and Ellie Murray
68 Episodes
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Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
Published: 6/26/2025 -
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
Published: 6/17/2025 -
The Art of Clarity with Andrew Heiss | Season 6 Episode 6
Published: 5/29/2025 -
Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5
Published: 5/8/2025 -
From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
Published: 4/24/2025 -
Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
Published: 4/10/2025 -
Causal Assumptions and Large Language Models | Season 6 Episode 2
Published: 3/27/2025 -
Data Integration for Impact with Len Testa | Season 6 Episode 1
Published: 2/28/2025 -
Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11
Published: 7/10/2024 -
Flexible methods with Edward Kennedy | Season 5 Episode 10
Published: 6/26/2024 -
What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9
Published: 6/12/2024 -
Observational Causal Analyses with Erick Scott | Season 5 Episode 8
Published: 5/29/2024 -
Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7
Published: 5/16/2024 -
Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6
Published: 5/1/2024 -
Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5
Published: 4/17/2024 -
Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4
Published: 4/3/2024 -
Immortal Time Bias | Season 5 Episode 3
Published: 3/20/2024 -
Targeted Learning with Mar van der Laan | Season 5 Episode 2
Published: 3/6/2024 -
Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1
Published: 2/21/2024 -
Remembering Ralph B. D'Agostino, Sr.
Published: 10/2/2023
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.