Focuses on principles and methods of epidemiology and biostatistics, including: descriptive epidemiology, data summaries and presentation, study design, measures of excess risk, causal inference, screening, measurement error, misclassification, effect modification, confounding, confidence intervals, hypothesis testing, p-values, sample size calculation, and linear regression analysis. Includes hands-on data analysis.
| Credits | Planned Offerings | Program(s) | Funding |
|---|---|---|---|
| 7 | Aut 2024, Spr 2025 | MPH, OMPH | fee-based, tuition-based |