| Call Number | 15660 |
|---|---|
| Day & Time Location |
F 1:00pm-3:50pm 800 ROSENFIELD B |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Xiao Wu |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course focuses on methods for the analysis of survival data, or time-to-event data. Survival analysis is a method for analyzing survival data or failure (death) time data, that is time-to-event data, which arises in a number of applied fields, such as medicine, biology, public health, epidemiology, engineering, economics, and demography. A special course of difficulty in the analysis of survival data is the possibility that some individual may not be observed for the full time to failure. Instead of knowing the failure time t, all we know about these individuals is that their time-to-failure exceeds some value y where y is the follow-up time of these individuals in the study. Students in this class will learn how to make inference for the event times with censored. Topics to be covered include survivor functions and hazard rates, parametric inference, life-table analysis, the Kaplan-Meier estimator, k-sample nonparametric test for the equality of survivor distributions, the proportional hazards regression model, analysis of competing risks and bivariate failure-time data. |
| Web Site | Vergil |
| Department | Biostatistics |
| Enrollment | 76 students (80 max) as of 9:05AM Saturday, December 21, 2024 |
| Subject | Biostatistics |
| Number | P8108 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Note | Other: Requires at least one prior course in probability and |
| Section key | 20243BIST8108P001 |