How to correctly compute Odds Ratios from a Binomial Logit Generalized Linear Mixed Model (GLMM) in JMP Pro?
I am fitting a Binomial Logit Generalized Linear Mixed Model (GLMM) in JMP Pro 18, with: binary outcome (1 = event, 0 = no event), several categorical predictors (factors), and a random intercept for subject ID to account for repeated measures / clustering. The model converges and produces a table of Fixed Effects Parameter Estimates, which includes: Estimate (β) Standard Error Lower / Uppe...