Like, I even teach that randomized promotion of a program should be analyzed as an IV (see evalf22.classes.andrewheiss.co) (and they talk about that idea in the podcast too), but I never made the connection between IVs and RCTs in general haha

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Last updated 3 years ago

🍁🍂 Andrew Heiss 🍂🍁 · @andrew
2165 followers · 302 posts · Server fediscience.org

More *Bayes Rules!* notes + translation: logistic and negative binomial models, which are super tricky to work with!

I added extra stuff on marginal effects, including the (new!) ability to integrate out random effects with {marginaleffects}

bayesf22-notebook.classes.andr

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Last updated 3 years ago

🍁🍂 Andrew Heiss 🍂🍁 · @andrew
2164 followers · 302 posts · Server fediscience.org

My notes + translation of *Bayes Rules!* continues with the densest & most important chapter of the whole book—multilevel models with varying intercepts *and* slopes. The book covers every detail of these models, including the mystical ρ term!

bayesf22-notebook.classes.andr

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Last updated 3 years ago

🍁🍂 Andrew Heiss 🍂🍁 · @andrew
2165 followers · 302 posts · Server fediscience.org

MORE CONTENT. Finished my tidyverse / brms translation of *Bayes Rules!* ch. 16 on multilevel models.

They do a *masterful* job of explaining pooling, within/between variation, random offsets, and shrinkage.

READ THIS BOOK, PEOPLE! bayesf22-notebook.classes.andr

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Last updated 3 years ago

🍁🍂 Andrew Heiss 🍂🍁 · @andrew
2165 followers · 302 posts · Server fediscience.org

My translation of the *Statistical Rethinking* videos into brms / tidyverse continues with video 11 on ordered categories! Fairly straightforward fun stuff with ordinal logistic regression, and now I finally better understand what the heck these cutpoints actually mean bayesf22-notebook.classes.andr

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Last updated 3 years ago