31 episodes

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.

Casual Inference Lucy D'Agostino McGowan and Ellie Murray

    • Science
    • 4.8 • 70 Ratings

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.

    Asking questions that matter, getting answers that help

    Asking questions that matter, getting answers that help

     
    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 Michigan'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.
     

    • 1 hr 11 min
    A Casual Look at Causal Inference History

    A Casual Look at Causal Inference History

    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.

    • 1 hr 12 min
    Hanging out in the data science trough of disillusionment with Hilary Parker

    Hanging out in the data science trough of disillusionment with Hilary Parker

    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.

    • 1 hr 9 min
    Metascience with Noah Haber

    Metascience with Noah Haber

    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.

    • 1 hr 8 min
    Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa

    Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa

    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.

    • 57 min
    Causal Inference and Network Science for Public Health with Ashley Buchanan

    Causal Inference and Network Science for Public Health with Ashley Buchanan

    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.

    • 59 min

Customer Reviews

4.8 out of 5
70 Ratings

70 Ratings

Sherman Dorn ,

Friendly and highly informative

Variety show about causal inference? Pretty close! Interviews, news, occasional teaching segments, Q&A, and only missing the musical numbers.

More seriously, the hosts are ecumenical abut the different disciplinary approaches to inference, keep things relatively nontechnical, and fun.

izzyka ,

Love this show!

The hosts are very smart, know a lot about epidemiology, biostatistics, and causal inference, and have a lot of fun! They have very good guests on. Extra props for the focus on “keeping it casual”

JosephWesley ,

Fun, insightful and highly engaging conversations with field experts.

This is a great podcast for people new to causal inference as well as those helping to advance the methods. It’s ‘casual’ and guests are buzzed if they introduce words or concepts that need definition. The hosts interview leaders in the field and the conversations are always fun and insightful. Podcasting at its best.

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