STEM / applied
Mixed models · Graduate · Statistics
Topics
Applied mixed modeling
- Workflow in R (lme4, glmmTMB) or SAS PROC MIXED
- Diagnostics: QQ plots for random effects
- Crossed random effects in psycholinguistics data
- Meta-analysis as mixed models (intro)
- Communicating fixed vs random effects
- Handling convergence failures in practice
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.