Poisson Regression & Survival Analysis (Applied Examples)
In this hands-on SPSS lab, Dr. Mohammed Yisa walks through applied modeling approaches for count, rate, and time-to-event data using real-world examples from a longitudinal cohort of resident physicians.
Topics covered include:
- Poisson regression for counts vs. rates, including interpretation of ratios and offsets
- Choosing and interpreting link functions (identity vs. log)
- Introduction to survival analysis concepts
- Kaplan–Meier curves (base R and ggplot)
- Log-rank tests for group comparisons
- Cox proportional hazards models and checking the PH assumption
