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Sorry, no ARM solutions

Daniel Gerlanc asks: I’ve been reading your Regression and Multilevel Modeling book. Do you have a set of example solutions for the problems in the book? Henning Piezunka, Adam Lynton, and others have asked the same question. My universal response: I’m glad you like our book. Unfortunately, we have no solution sets. I made a [...]
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Prior distributions for regression coefficients

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science (2 years ago)

Eric Brown writes: I have come across a number of recommendations over the years about best practices for multilevel regression modeling. For example, the use of t-distributed priors for coefficients in logistic regression and stand... Read Post

Uncertainty in parameter estimates using multilevel models

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science (12 months ago)

David Hsu writes: I have a (perhaps) simple question about uncertainty in parameter estimates using multilevel models — what is an appropriate threshold for measure parameter uncertainty in a multilevel model? The reason why I ask i... Read Post

References (with code) for Bayesian hierarchical (multilevel) modeling and structural equation modeling

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science (4 months ago)

A student writes: I am new to Bayesian methods. While I am reading your book, I have some questions for you. I am interested in doing Bayesian hierarchical (multi-level) linear regression (e.g., random-intercept model) and Bayesian ... Read Post


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