I have the following model: m ← brm(formula=outcome ~ x1 + x2 + (1 | ID) + (1 | SCHID), family=bernoulli) “outcome” is a variable with binary outcomes (1/0) and the output of this model would be log-odds of the variable x1, and x2, and the random intercepts. My question is, how do I, instead of g…

I suspect that has to due with the defaults in brms for conditional_effects regarding the varying intercepts vs what you calculated manually. Note, that calculating relative risk or risk difference from logistic regression models is a rather contentious subject. See https://statmodeling.stat.columb…

An alternative is to use the {marginaleffects} package (the slopes and avg_slopes functions in particular).

Implementing the results provided there yielded different probabilities than one generated via conditional_effects, The conditional_effects plot had much lower probabilities

How to Obtain Relative Risk on Bayesian Logistics Mixed Effect Model?

Modeling

jd_c August 11, 2023, 7:04pm 2

See the discussion at this post and particularly the response here Binomial regression with a log link - #5 by bgoodri

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How to Obtain Relative Risk on Bayesian Logistics Mixed Effect Model?

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