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Multilevel Bayesian model for Experimental Design with levels in treatment and control groups

Context I'm designing an experiment and Bayesian analysis to interpret results. I've used Statistical Rethinking as inspiration for model structure. Suppose I want to study the effects of a sports ...
jbuddy_13's user avatar
  • 3,520
3 votes
0 answers
396 views

Best approach for (weakly) informative priors and variable-scaling in hierarchical logistic regression? [closed]

I am a PhD student using logistic regression to investigate mental health epidemiology. Since participants in my cohort study have a diagnosis or not (coded 1 or 0) - I'm using logistic regression to ...
statneutrino's user avatar
2 votes
1 answer
62 views

Multipliers on Top of Binomial Rate Estimates

I was wondering if anyone has come across a similar question to the following. I have data of the form $s_{x,y}, t_{x,y}$ (successes and trials) for varying groups with $x \in X, y \in Y$. I also ...
jlimahaverford's user avatar
2 votes
1 answer
125 views

How to model this data?

I have a dataset with the following structure: ...
Thomas Jensen's user avatar
14 votes
2 answers
5k views

Why use a beta distribution on the Bernoulli parameter for hierarchical logistic regression?

I'm currently reading Kruschke's excellent "Doing Bayesian Data Analysis" book. However, the chapter on hierarchical logistic regression (Chapter 20) is somewhat confusing. Figure 20.2 describes a ...
user4733's user avatar
  • 2,724
8 votes
1 answer
6k views

How to specify Bayesian mixed effects model in BUGS

I posted this earlier in the week then retracted the question when I found a good source, not wanting to waste people's time. I haven't made much progress I'm afraid. In trying to be a good citizen ...
Ross Dunne's user avatar