COURSE UNIT TITLE

: ADVANCED STATISTICAL METHODS SPECIAL FOR CANCER RESEARCH

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
OKE 6010 ADVANCED STATISTICAL METHODS SPECIAL FOR CANCER RESEARCH ELECTIVE 2 0 0 6

Offered By

Canser Epidemiology Doctorate

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR HÜLYA ELLIDOKUZ

Offered to

Canser Epidemiology Doctorate
Basic Oncology
Canser Epidemiology
Basic Oncology
Translational Oncology
Translational Oncology

Course Objective

The aim of this course, learning the advanced statistical concepts used in the field of oncology and learning the cancer-specific statistical analysis.

Learning Outcomes of the Course Unit

1   Be able to know the cancer epidemiology
2   Acquire knowledge of planning processes in cancer research
3   Be able to know scale of life quality , survival analysis, analytical and clinical validation
4   Be able to know Multivariate analysis methods and multiplex gene analysis
5   Be able to apply basic statistical methods specific to cancer research

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The distinguishing features of cancer research, the basic concepts of the epidemiology of cancer
2 The general principles of cancer staging systems, the general principles of classification systems for cancer
3 Response analysis of cancer treatment The distinguishing features of descriptive analysis on cancer research
4 Quality of life scales, assessment of quality of life scales
5 The basic principles of research planning on cancer and the role of statistics
6 The importance of evaluation in cancer research, cancer risk concept
7 Sensitivity, specificity analysis, and ROC curves
8 The censored survival analysis, period-specific risk and risk ratio
9 survival analysis on cancer research,: life table method of survival analysis
10 Studies of cancer survival analysis: Kaplan-Meier survival analysis method, comparison of survival curves
11 Multivariate methods on survival analysis
12 Other multivariate methods of cancer research, multiple regression, logistic regression,
13 ANOVA, MANOVA
14 Multiple gene analysis of cancer research
15 Important of cancer statistics in interpreting the results

Recomended or Required Reading

Statistical Methods in Cancer Research, 1987 (WHO).
2Sağlıkta Araştırma ve Çözümleme, 2006 (Gazanfer Aksakoğlu),
3Bilimsel Araştırmalarda SPSS for Windows, 1995 (Mustafa Ergün),
4Bilgisayar Istatistik ve Tıp, 1995 (Murat Hayran, Oktay Özdemir),
5Sağlık Araştırmaları Için Temel Istatistik 2011 (Murat Hayran Mutlu Hayran)

Planned Learning Activities and Teaching Methods

Tutorial

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRF PERFORMANCE
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE PRF * 0.40 + FIN*0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) PRF * 0.40 + FCGR*0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes, intermediate and long-answer questions will be evaluated with classical written final exam. Strengthened by homework

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

hulya.ellidokuz@deu.edu.tr 0 232 4125889/5801

Office Hours

Tuesday 12.30-13.30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 15 2 30
Preparations before/after weekly lectures 15 8 120
Final 1 1 1
TOTAL WORKLOAD (hours) 151

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.15
LO.25
LO.35
LO.45
LO.55

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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