Information Package / Course Catalogue
| 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 | : 2 |
Introduce the main statistical concepts, methods and models used in the analysis of survival data.
Theory and applications of life table, Kaplan Meier and Cox regression analysis.
| 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 |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %5 |
| Assignment | 1 | %5 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 15 | 2 | 17 |
| TOTAL WORKLOAD (hours) | 56 | |||
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 |