MPH 707 - Survival Analysis

3 Credit Hours
This course is designed to prepare the graduate students, health professionals, or fellows to apply basic methods of statistical analysis for survival (a.k.a. time-to-event) data relevant to clinical and public health research. The major topics to be covered include the Kaplan-Meier product-limit estimation, log-rank and related tests, the Cox regression model, parametric model, power and sample size justification, competing risk analysis, and recurrent event analysis. Interpretation of subsequent analysis results will be stressed. Concepts will be explored through critical review of the biomedical and public health literature, class exercises, two exams, and a data analysis project. Computations will be illustrated using the statistical software package SAS

The course is intended for graduate students and health professionals who will be actively involved in the analysis and interpretation of biomedical research or public health studies generating time-to-event data. (ADS Track Prerequisites: MPH 701, MPH 703); (EPI Track Prerequisites: MPH 612, MPH 630)