Information Package / Course Catalogue
Survival Analysis
Course Code: BİS526
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

Introduce the main statistical concepts, methods and models used in the analysis of survival data.

Course Content

Theory and applications of life table, Kaplan Meier and Cox regression analysis.

Name of Lecturer(s)
Learning Outcomes
1.To be able to explain the key features of survival data and different types of censoring and truncation
2.To be able to define hazard and other basic consepts of survival analysis
3.To be able to use non-parametric methods such as the Kaplan-Meier estimator and the log- rank test to analyze survival data
4.To be able to use the Cox proportional hazards model to examine the effect of covariates to survival
5.To be able to implement hypothesis tests for survival data
6.To be able to apply the statistical package SPSS to analyze survival data, and interpret SPSS output
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic definitions and concepts in survival analysis
Week 2 - Theoretical
Parametric models: exponential
Week 3 - Theoretical
Weibull and other parametric models
Week 4 - Theoretical
Life tables method
Week 5 - Theoretical
Kaplan-Meier estimator
Week 6 - Theoretical
Comparison of Kaplan-Meier survival curves
Week 7 - Theoretical
Cox regression model
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
Assumptions in Cox regression model
Week 10 - Theoretical
Parameter estimation in Cox regression model
Week 11 - Theoretical
Testing the significance of coefficients in Cox regression model
Week 12 - Theoretical
Interpretation of coefficients in Cox regression model
Week 13 - Theoretical
Application of Cox regression method with simulated data
Week 14 - Theoretical
IMultivariate survival models
Week 15 - Theoretical
Literature review and discussion
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Reading50315
Individual Work140228
Midterm Examination110111
Final Examination115217
TOTAL WORKLOAD (hours)99
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
3
4
2
3
4
3
3
3
3
3
OÇ-2
3
4
4
3
3
3
2
2
2
1
OÇ-3
3
4
3
3
4
4
3
3
4
5
OÇ-4
3
4
3
3
4
4
3
3
4
5
OÇ-5
3
5
4
4
4
4
4
4
5
3
OÇ-6
2
5
3
3
5
5
4
4
5
5
Adnan Menderes University - Information Package / Course Catalogue