STAT-5684: Survival Analysis
Description: Models and methods for time-to-event data with focus on biological and biomedical applications. Topics includes types of censoring and truncation; likelihood construction; survival function estimation; nonparametric two or more samples tests; Cox semiparametric regression, time-dependent covariates; regression diagnostics; competing risks; frailty model. Pre-requisite: Working knowledge of statistical software.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 4
Average GPA: 3.86 (A)
Strict A Rate (No A-) : 72.30%
Average Withdrawal Rate: 0.00%
| Yili Hong | 2024 | 88.0% | 12.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.86 | 4 |