Comparing Rates using R: Poisson Regression & Survival Analysis (Applied Examples) скачать в хорошем качестве

Comparing Rates using R: Poisson Regression & Survival Analysis (Applied Examples)

In this hands-on R lab, we walk 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 Designed for learners with basic R knowledge who want practical exposure to regression and survival methods commonly used in epidemiology, clinical research, and public health. 📊 Code-based, interpretation-focused, and grounded in applied data analysis.