Survival Analysis

3 Credits

This course will present methodologies needed to model time-to-event data. By considering censored (i.e., incomplete) health data from a series of case studies, students will explore nonparametric estimation (e.g., life table methods, Kaplan–Meier estimator), nonparametric methods for comparing the survival experience of populations, and semiparametric and parametric methods of regression for censored outcome data. Computing will be a significant component of the course, ensuring students acquire the skills necessary to conduct time-to-event analyses of health-related data. Prerequisites: BSTA 133