Casual Inference Podcast

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Lucy D'Agostino McGowan and Ellie Murray
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Mathematics Science Health & Fitness Education
Audience & Performance Metrics
2.2K - 3.7K listeners Female 4.6 rating 149 reviews 66 episodes USA
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30s Ad: $69 - $86 60s Ad: $83 - $101 CPM Category: Education
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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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  • in***@cstructure.io

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Recent Hosts, Guests & Topics

Here's a quick summary of the last 5 episodes on Casual Inference.

Hosts

Lucy D'Agostino McGowan Ellie Murray

Previous Guests

Andrew Heiss
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 Arel-Bundock
Vincent Arel-Bundock is a professor at the Université de Montréal, specializing in comparative and international political economy. He is known for his work on interpreting statistical models and has authored the book 'Model to Meaning: How to Interpret Statistical Models With Marginal Effects for R and Python'. His research focuses on the application of statistical methods in political science.
Noah Greifer
Noah Greifer is a statistical consultant and programmer at Harvard University, specializing in statistical methods and data analysis. He is known for his contributions to the development of R packages such as WeightIt and MatchIt, which are widely used in the field of causal inference and statistics. Noah is also active in the online statistics community, sharing insights and advice through platforms like Stack Exchange.

Topics Discussed

causal inference epidemiology statistics data science public health estimands marginal effects fixed effects Vaccination Neurodevelopmental Disorders Methodological Flaws Autism Epidemiology Public Health comparative political economy international political economy statistical models R Python Propensity Scores R Packages Statistical Consulting Data Science large language models chat interfaces

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Episodes

Here's the recent few episodes on Casual Inference.

0:00 49:31

The Art of Clarity with Andrew Heiss | Season 6 Episode 6

Hosts
Lucy D'Agostino McGowan Ellie Murray
Guests
Andrew Heiss
Keywords
causal inference epidemiology statistics data science public health estimands marginal effects fixed effects
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.
Follow along on Bluesky:
 
🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
0:00 55:22

Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5

Hosts
Lucy D'Agostino McGowan Ellie Murray
Keywords
Vaccination Neurodevelopmental Disorders Methodological Flaws Autism Epidemiology Public Health

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.  

 

Follow along on Bluesky:

 

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

0:00 45:20

From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4

Hosts
Lucy D'Agostino McGowan Ellie Murray
Guests
Vincent Arel-Bundock
Keywords
comparative political economy international political economy statistical models marginal effects R Python
Vincent Arel-Bundock is a professor at the Université de Montréal, where he studies comparative and international political economy.
 
 
Follow along on Bluesky:
 
 
🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
0:00 1:22:09

Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3

Hosts
Lucy D'Agostino McGowan Ellie Murray
Guests
Noah Greifer
Keywords
Propensity Scores R Packages Statistical Consulting Data Science Public Health

Noah Greifer is a statistical consultant and programmer at Harvard University.

Episode notes:

Follow along on Bluesky:

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

 

 

 

0:00 51:51

Causal Assumptions and Large Language Models | Season 6 Episode 2

Hosts
Lucy D'Agostino McGowan Ellie Murray
Keywords
large language models chat interfaces causal inference

Lucy and Ellie chat about large language models, chat interfaces, and causal inference.

Follow along on Twitter:

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

Ratings

Global:
4.6 rating 149 reviews

USA

4.7 ratings 107 reviews

Canada

4.3 ratings 15 reviews

UK

4.2 ratings 14 reviews

Australia

4.6 ratings 11 reviews

Ireland

4.5 ratings 2 reviews

New Zealand

0.0 ratings 0 reviews

Singapore

0.0 ratings 0 reviews

South Africa

0.0 ratings 0 reviews