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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Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science (11 months ago)

Nelson Villoria writes: I find the multilevel approach very useful for a problem I am dealing with, and I was wondering whether you could point me to some references about poolability tests for multilevel models. I am working with t...

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science (3 years ago)

Trey Causey writes: Do you have suggestions as to model selection strategies akin to Bayesian model averaging for multilevel models when level-2 inputs are of substantive interest? I [Causey] have seen plenty of R packages and proce...

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science (3 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...

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

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science (12 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 ...

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