COURSE UNIT TITLE

: SURVIVAL ANALYSIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 5110 SURVIVAL ANALYSIS ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÖZGÜL VUPA ÇILENGIROĞLU

Offered to

Statistics
Statistics
STATISTICS

Course Objective

This course introduces basic concepts and methods for analyzing survival time data obtained from following individuals until occurrence of an event or their loss to follow-up. We will begin this course from describing the characteristics of survival (time to event) data and building the link between distribution, survival, and hazard functions. After that, we will cover nonparametric, parametric and cox regression model.

Learning Outcomes of the Course Unit

1   Describing fundamental elements of survival analysis,
2   Describing the survival data set,
3   Describing some special methods which are used for survival data ,
4   Calculating and interpreting the measures which are used for describing data.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Review of Statistics
2 Modelling Quantitative and Qualitative Outcome Variables (Linear Regression)
3 Modelling Quantitative and Qualitative Outcome Variables (Logistic Regression)
4 Modelling Survival Data (Cencored Data, The Survival Function, The Density Function, The Hazard Function, Mean and Median Survival Time)
5 Estimating the Hazard Function (Parametric Probability Models: The Exponential Dist., The Weibull Dist., The Lognormal Dist.)
6 Estimating the Hazard Function (Kaplan-Meier Estimation and Acturial Estimation)
7 Comparing Two Survival Curves (The Gehan Test, The Logrank Test, The Meantel-Haenszel Test)
8 Midterm Exam
9 Proportional Hazards Regression Models, The Cox Proportional Hazards Model and Assumptions
10 Estimation of Survival Time(Maximum likelihood Estimation, Breslow s and Efrons s Log-likelihood)
11 Hypothesis Testing of Survival Time (Likelihood Ratio Test, Wald Test)
12 Residual Analysis (Cox-Snell Residuals, Martingale Residuals, Deviance Residuals, Schoenfeld s Residuals)
13 Checking for Proportionality (Log(-log) Plots, Schoenfeld s Residuals, Arjas Plot)
14 Representation of Homework

Recomended or Required Reading

Textbook(s):
Klein J., Moeschberger M., (2003) Survival Analysis, Second Edition, Springer, USA.

Supplementary Book(s):
Trapp g. R., Sounders B.D., (1994) Basic and Clinical Biostatistics, Second Edition Appleton&Lange, USA.

Planned Learning Activities and Teaching Methods

Lecture , homework and problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRJ PROJECT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRJ * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRJ * 0.30 + MTE * 0.30 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DR. Özgül VUPA ÇILENGIROĞLU
DEU Faculty of Sciences, Department of Statistics
e-mail: ozgul.vupa@deu.edu.tr
Tel: 0232 301 86 02

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 5 65
Preparation for midterm exam 1 13 13
Preparation for final exam 1 26 26
Preparing assignments 2 13 26
Midterm 1 4 4
Final 1 4 4
TOTAL WORKLOAD (hours) 177

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15534
LO.2554
LO.35534
LO.455534

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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