STEM / applied
Longitudinal data analysis · Graduate · Statistics
Topics
Applied longitudinal analysis
- Fitting mixed models in R (lme4, nlme) or Stata
- Visualization of individual trajectories
- Clinical trial repeated measures case studies
- Education panel data applications
- Power for longitudinal studies
- Reporting random effects and ICC
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.