Like, I even teach that randomized promotion of a program should be analyzed as an IV (see https://evalf22.classes.andrewheiss.com/content/12-content.html) (and they talk about that idea in the podcast too), but I never made the connection between IVs and RCTs in general haha #statsodon #statTootstics
More *Bayes Rules!* notes + #brms #rstats 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}
https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/18-chapter.html
#statsodon #stattootstics #bayesian #rstats #brms
My notes + #brms #rstats 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! #stan #bayesian #statsodon #statTootstics
https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/17-chapter.html
#stattootstics #statsodon #bayesian #Stan #rstats #brms
MORE #bayesian CONTENT. Finished my tidyverse / brms #rstats 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! #statsodon #statTootstics https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/16-chapter.html
#stattootstics #statsodon #rstats #bayesian
My translation of the *Statistical Rethinking* videos into brms / tidyverse #rstats 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 https://bayesf22-notebook.classes.andrewheiss.com/rethinking/10-video.html #stats #statsodon #statTootstics #bayesian
#bayesian #stattootstics #statsodon #stats #rstats