An Ode to Generalized Linear Models | Episode 16

What this episode covers

Ellie Murray and Lucy D'Agostino McGowan casually discuss linear versus logistic regression, prediction versus inference, generalized linear models, and more! 📄Robin Gomila's paper: "Logistic or linear? Estimating causal effects on experimental treatments on binary outcomes using regression analysis" 🐦 Robin's twitter thread about the paper Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade. 👩‍🎨 Our artwork is by Allison Horst.

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Frequently Asked Questions

How long is this episode of Casual Inference?

This episode is 45 minutes long.

When was this Casual Inference episode published?

This episode was published on October 2, 2020.

What is this episode about?

Ellie Murray and Lucy D'Agostino McGowan casually discuss linear versus logistic regression, prediction versus inference, generalized linear models, and more! 📄Robin Gomila's paper: "Logistic or linear? Estimating causal effects on experimental...

Can I download this Casual Inference episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.