A Bayesian Statistics and Data Science Blog
An Introduction to Being Less Wrong
Bayesian Hypothesis Testing and Model Averaged Marginal Effects for the Social Sciences
R
Bayesian Statistics
Statistics
Marginal Effects
Stan
Logit
Model Averaging
This post provides an introduction to Bayesian Model Averaging and Model Averaged Marginal Effects with Stan, {brms}, and {marginaleffects}
These Are Not the Effects You Are Looking For
The Fallacy of Mutual Adjustment and How to Avoid It
R
Bayesian Statistics
Causal Inference
Regression
Stan
Simulation
This blog post provides an overview of the logic of statistical control, the fallacy of mutual adjustment, and a simulation-based illustration of correct and incorrect approaches to the interpretation of multivariable regression models in the social sciences.
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