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: 2
Average GPA: 3.92 (rounds to A)
Strict A Rate (No A-) : 79.45%
Average Withdrawal Rate: 0.00%
| Yili Hong | 2024 | 94.5% | 5.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.92 | 2 |