Modeling Mixed Effects for Binary and Count Responses
July 14, 2023 | 2:00 - 2:45 p.m. ET
Jian Cao, JMP Technical Enablement
Achieving the most efficient statistical inferences when modeling non-normal responses that have fixed and random effects (mixed effects) requires software to account for random variability in responses. See how to use JMP Pro 17 Generalized Linear Mixed Models (GLMM) to handle mixed effects logistic regression for binary outcomes and mixed effects Poisson regression for count data. Learn to use GLMM binary logistic regression with mixed effects for individual and group data. Learn to use GLMM Poisson regression for count data. See a 30-minute demo followed by 15-30 minutes of Topic Discussion and Q&A.