Course Information

Course Title	Code	Semester	L+U Hour	Credits	ECTS
SURVIVAL MODELS	UAKT404	8. Semester	2 + 2	3.0	6.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Bachelor's Degree
Course Type	Compulsory
Mode of delivery	Oral presentation
Course Coordinator
Instructors
Assistants
Goals	Aim of this course is to teach moment, maximum likelihood and parametric estimation procedures to estimate survival models from data samples and analyse the nature and quality of the estimates.
Course Content	Complete and incomplete data samples, moment estimation, actuarial approach to moment estimation, maximum likelihood estimation, properties of estimators, parametric models.
Learning Outcomes	1) Define the complete and incomplete data samples. 2) Define the types of estimation problems. 3) Use moment estimation and maximum likelihood estimation to estimate survival functions. 4) Estimate parametric survival models from both complete and incomplete data samples and to determine the acceptability of these models by hypothesis testing.

Week	Topics	Teaching and Learning Methods and Techniques	Study Materials
1. Week	Exact time of death	Lecture; Question Answer; Problem Solving	Homework
2. Week	Grouped times of death	Lecture; Question Answer; Problem Solving	Homework
3. Week	Tabular survival models estimated from incomplete data: Interval estimates	Lecture; Question Answer; Problem Solving	Homework
4. Week	Single and double decrement environments	Lecture; Question Answer; Problem Solving	Homework
5. Week	Moment estimation	Lecture; Question Answer; Problem Solving	Homework
6. Week	Actuarial approach to moment estimation	Lecture; Question Answer; Problem Solving	Homework
7. Week	Estimation of survival function	Lecture; Question Answer; Problem Solving	Homework
8. Week	Midterm exam
9. Week	Maximum likelihood estimation	Lecture; Question Answer; Problem Solving	Homework
10. Week	Maximum likelihood estimation	Lecture; Question Answer; Problem Solving	Homework
11. Week	Properties of maximum likelihood estimators	Lecture; Question Answer; Problem Solving	Homework
12. Week	Product-limit estimator	Lecture; Question Answer; Problem Solving	Homework
13. Week	Univariate models, complete data	Lecture; Question Answer; Problem Solving	Homework
14. Week	Univariate models, incomplete data, Concomitant variables in parametric models	Lecture; Question Answer; Problem Solving	Homework
15. Week	Preparation for Final Exam	Lecture; Question Answer; Problem Solving	Homework
16. Week	Final exam

Recommended Sources

Cox, D. R., Oakes, D., Analysis of Survival Data, Chapman and Hall, 1984.

Lee E. T., Wang J. W., Statistical Methods for Survival Data Analysis, Wiley-Interscience, 2003.

London, D.,1997, “Survival Models and Their Estimation”, Actex Publications, Winsted, Connecticut.

*DK = Course's Contrubution.

	0	1	2	3	4	5
Level of contribution	None	Very Low	Low	Fair	High	Very High

Event	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Total weeks*Hours per week)	14	4	56
Work Hour outside Classroom (Preparation, strengthening)	14	4	56
Homework	2	3	6
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)	2	3	6
Midterm Exam	1	2	2
Time to prepare for Midterm Exam	1	20	20
Final Exam	1	2	2
Time to prepare for Final Exam	1	30	30
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course			30