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[ 4MSLDKV ] KV Survival Analysis (Statistics)
Versionsauswahl
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Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B3 - Bachelor's programme 3. year Statistics Helga Wagner 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics 2012W
Objectives Students ar familiar with the basic concepts of survival analysis and are able to analyse survival data using statistical software, e.g. R
Subject Basic concepts (censoring, truncation, survial function, hazard rate)

Estimation of survival functions: Life tables, Kaplan Meier estimator

Comparing survival function: Log-Rank test, Wilcoxon test, stratified tests

accelarated failure time model: specification, parametric survival distributions, estimation, hypothesis testing evaluating model fit

proportional hazards modell: specification of the Cox model, estimation of regression coefficients and survival function, model checks, stratified cox model

Criteria for evaluation Exam
Project report
Methods Lecture
Computer Lab
Language German; english on demand
Study material Broström, G. (2012), Event History Analysis, Taylor & Francis

Hosmer D. W., Lemeshow S. (2003) Applied Survival Analysis, Wiley

Klein J. P., Moeschberger M. L. (1997) Survival Analysis, Springer

Changing subject? No
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority