PSTAT 175: SURVIVAL ANALYSIS
University of California, Santa Barbara
Introduces methods for analyzing time-to-event data, focusing on both conce pts and applications. Topics include survival and hazard functions, life ta bles, Kaplan-Meier estimation, comparison of survival curves, and regressio n models such as the Cox proportional hazards and accelerated failure time models. Emphasis is placed on developing intuition for the methods and inte rpreting results. Students will gain hands-on experience with survival anal ysis using R.
Average GPA: 3.25
Grade distribution records: 722 students across 11 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 61 | 8.4% |
| A | 164 | 22.7% |
| A- | 106 | 14.7% |
| B+ | 117 | 16.2% |
| B | 121 | 16.8% |
| B- | 52 | 7.2% |
| C+ | 25 | 3.5% |
| C | 41 | 5.7% |
| C- | 12 | 1.7% |
| D+ | 1 | 0.1% |
| D | 5 | 0.7% |
| D- | 1 | 0.1% |
| F | 16 | 2.2% |
Based on 722 student grade records across 11 terms and 5 professors.
Instructors
- Carter A V 473 students, Average GPA 3.20
- Tashman A P 88 students, Average GPA 3.46
- Sen R 73 students, Average GPA 2.82
- Wang Y-D 70 students, Average GPA 3.84
- Hinkley D 18 students, Average GPA 3.02