Module MA4100-KP05
Survival Analysis (UebAnaKP05)
Duration
1 Semester
Turnus of offer
irregularly
Credit points
5
Course of studies, specific fields and terms:
- Master CLS 2023, optional subject, mathematics
- Bachelor CLS 2023, optional subject, mathematics
- Bachelor CLS 2016, optional suject, mathematics
- Master CLS 2016, optional subject, mathematics
Classes and lectures:
- Survival Analysis (exercise, 1 SWS)
- Survival Analysis (lecture, 2 SWS)
Workload:
- 30 hours work on project
- 15 hours in-classroom work
- 90 hours private studies
- 15 hours exam preparation
Contents of teaching:
- Introduction to survival analysis
- Kaplan-Meier method
- Log rank test
- The Cox regression model and its characteristics
- Evaluating the proportional hazards assumption
- Stratified Cox model
- Parametric survival analysis
- Event time analyses for recurrent events
- Event time analysis for competing risks
- Design aspects for RCTs
Qualification-goals/Competencies:
- The students are able to explain the different censoring mechanisms leading to survival analysis.
- They are able to define the most important terms of survival analysis.
- They are able to calculate point and interval estimators for the Kaplan- Meier approach.
- They are able to calculate the log-rank test for two or more groups.
- They are able to explain the assumption of proportionality of the Cox model.
- They are able to estimate Cox models.
- They are able to check the assumption of proportionality.
- They are able to calculate exponential and Weibull models.
- They can explain the specifics of recurrent events and competing risks.
- They can estimate models for recurrent events and competing risks.
- They can design an RCT with a time-to-event endpoint.
Grading through:
- Oral examination
Responsible for this module:
- Dr. Maren Vens
Teacher:
- Institute of Medical Biometry and Statistics
- Dr. Maren Vens
Literature:
- Kleinbaum DG, Klein M : Survival Analysis: A Self-Learning Text - 3rd Edition - 2012
Language:
- English, except in case of only German-speaking participants
Notes:
Admission requirements for taking the module:- None (The competencies of the modules listed under 'Requires' are needed for this module, but are not a formal prerequisite)
Admission requirements for participation in module examination(s):
- Successful completion of homework assignments as specified at the beginning of the semester
Module exam(s):
- MA4100-L1: Survival Analysis, oral exam, 30 min, 100 % of module grade
Last Updated:
22.02.2022