40 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
    • 4.7 • 86 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.

    Hot takes and logistic regression love with Travis Gerke

    Hot takes and logistic regression love with Travis Gerke

    Lucy D'Agostino McGowan and Ellie Murray chat with Travis Gerke, Director of Data Science at The Prostate Cancer Clinical Trials Consortium (PCCTC). This episode has lots of hot takes and lots of love for logistic regression!
    Follow along on Twitter:
    Travis Gerke: @travisgerke The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade
    Edited by Quinn Rose: aspiringrobot.com

    • 54 min
    Counterfactual Thinking: Biomarkers, Napster, and Ice-T

    Counterfactual Thinking: Biomarkers, Napster, and Ice-T

    Lucy D'Agostino McGowan and Ellie Murray chat about counterfactuals!
    Follow along on Twitter:
    The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade
    Edited by Quinn Rose: aspiringrobot.com

    • 57 min
    Population and Biomedical Data Science with Enrique Schisterman

    Population and Biomedical Data Science with Enrique Schisterman

    In this episode Ellie Murray and Lucy D'Agostino McGowan chat with Enrique Schisterman, Perelman Professor and Chair of the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania, about the future of epidemiology.
    Follow along on Twitter:
    Enrique: @eschisterman1 The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade

    • 54 min
    What is the value of a p-value with Charlie Poole and Chuck Scales

    What is the value of a p-value with Charlie Poole and Chuck Scales

    In this episode we play the audio from a recent panel discussion co-sponsored by UNC TraCS, Duke University and Wake Forest U CTSA Biostatistics, Epidemiology and Research Design (BERD) Cores. The panelists were Charles Poole (Associate Professor of Epidemiology, UNC) Lucy D'Agostino McGowan, and Charles Scales (Associate Professor of Surgery, Duke University) and it was facilitated by Marcella Boynton (Assistant Professor, General Internal Medicine, UNC/NC TraCS).
    🎥 The video of the panel can be found here
    🎞 Lucy's slides
    📃 The ASA Statement on p-values
    📃 The American Statistician issue on p-values following the SSI conference
    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 16 min
    It Depends with Sander Greenland

    It Depends with Sander Greenland

    In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Sander Greenland, Emeritus Professor of Epidemiology and Statistics at UCLA.
    Follow along on Twitter:
    The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade
    Edited by Quinn Rose: aspiringrobot.com

    • 1 hr 27 min
    The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol

    The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol

    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  

    • 1 hr 4 min

Customer Reviews

4.7 out of 5
86 Ratings

86 Ratings

havyn:) ,

Math

This is so good!!!! I am 14 and really enjoy math and science I have always tried to ask my teachers to teach me but I never understand this is epic

The Happy Barista ,

Data Science & Causal Inference

Causal Inference is a topic that is way underrepresented in data science content for how important it is. This podcast is epidemiology-focused, but data science practitioners will find it fun and insightful as well. The hosts are very sweet and fun. So glad this show is back!

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.

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