Casual Inference

Latest Episodes:

The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11 Apr 05, 2022

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Toyya Pujol, Operations Researcher at RAND Corporation.

Follow along on Twitter:

Toyya: @toyyapujol
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10 Mar 14, 2022

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Maggie Makar, Presidential postdoctoral fellow and assistant professor in Computer Science and Engineering at the University of Michigan.

Follow along on Twitter:

Maggie: @Maggiemakar
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

Slide link: https://bit.ly/3DnQai5

🎶 Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose: aspiringrobot.com

Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9 Feb 28, 2022

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Judea Pearl, Chancellor professor of computer science and statistics at the University of California, Los Angeles.

📄 Judea's recent papers

📖 Book of Why

Follow along on Twitter:

Judea: @yudapearl
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

Slide link: https://bit.ly/3DnQai5

🎶 Our intro/outro music is courtesy of Joseph McDade

The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8 Feb 14, 2022

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Chris Schaich about the epidemiologist John Snow. Dr. Schaich is an assistant professor at Wake Forest School of Medicine in the Hypertension and Vascular Research Center.

Follow along on Twitter:

Chris: @Chris_Schaich
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

Slide link: https://bit.ly/3DnQai5

🎶 Our intro/outro music is courtesy of Joseph McDade

Asking questions that matter, getting answers that help | Season 3 Episode 7 Dec 05, 2021

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat about their Spotify Wrapped for Casual Inference, and Ellie Murray talks about causal inference for complex data with the University of Minnesota's epidemiology department.

Follow along on Twitter:

The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

Slide link: https://bit.ly/3DnQai5

Transcript (auto-generated): https://bit.ly/3y4OskQ

🎶 Our intro/outro music is courtesy of Joseph McDade.

A Casual Look at Causal Inference History | Season 3 Episode 6 Nov 22, 2021

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat about the history of causal inference, tracing the origins across disciplines from statistics to economics, epidemiology, and computer science, discussing contributions from Rubin, Robins, Pearl, and more!

Follow along on Twitter:

The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

🎶 Our intro/outro music is courtesy of Joseph McDade.

Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5 Nov 08, 2021

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Hilary Parker about design thinking for data analysis, the Dunning-Kruger effect, and the potential data behind baby Yoda.

Follow along on Twitter:

Hilary: @hspter
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

🎶 Our intro/outro music is courtesy of Joseph McDade.

Metascience with Noah Haber | Season 3 Episode 4 Oct 25, 2021

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Noah Haber about metascience, causal language in the literature, and more!

🥇 Causal Inference Nobel Prize Press Release

📝 Causal and Associational Linking Language From Observational Research and Health Evaluation Literature in Practice: A systematic language evaluation

📝 What Should Researchers Expect When They Replicate Studies? A Statistical View of Replicability in Psychological Science

📝 Design principles of data analysis

📝 Causal language and strength of inference in academic and media articles shared in social media (CLAIMS): A systematic review

🔗 Reading past headlines [part 1]

🔗 Reading past headlines [part 2]

Follow along on Twitter:

Noah: @NoahHaber
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

🎶 Our intro/outro music is courtesy of Joseph McDade.

Touringplans — **Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3** Oct 11, 2021
Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Len Testa, president of TouringPlans, about solving optimization problems in travel and healthcare.

📦 Lucy's R package with touringplans data

Len's slide on model choices:

**Follow along on Twitter:**

Len: @LenTesta

The American Journal of Epidemiology: @AmJEpi

Ellie: @EpiEllie

Lucy: @LucyStats

🎶 *Our intro/outro music is courtesy of* *Joseph McDade*.

Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2 Sep 27, 2021

Show notes

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Ashley Buchanan about causal inference with a focus on networks. Dr. Buchanan is an assistant professor of Biostatistics in the Department of Pharmacy Practice at the University of Rhode Island.

🔗 Dr. Buchanan's website

Follow along on Twitter:

The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

🎶 Our intro/outro music is courtesy of Joseph McDade.

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