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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ONK 5030 SPECIAL STATISTICAL METHODS IN CANCER STUDIES ELECTIVE 1 0 0 2

Offered By

Basic Oncology

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR HÜLYA ELLIDOKUZ

Offered to

Translational Oncology

Course Objective

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

Learning Outcomes of the Course Unit

1   Acquire of information about basic statistical methods specific to cancer research 2   Be able to know the appropriate test selection algorithm. 3   Acquire of information about ratio one group / two groups statistical methods, categorical distribution and the average tests. 4   Be able to know the relationships between variables, and correlation analysis. 5   Capable of taking of records of objective data suitable for statistical analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic concepts related to probability theory and probability distribution functions 2 Frequently used parameters and the dispersion characteristics in cancer 3 Concepts of statistical testing and statistical inference-1 4 Concepts of statistical testing and statistical inference-2 5 Parametric and nonparametric test concepts 6 Testing basic assumptions and the selection of appropriate test selection algorithm-1 7 Testing basic assumptions and the selection of appropriate test selection algorithm-2 8 Testing basic assumptions and the selection of appropriate test selection algorithm-3 9 The ratio for a single group, statistical tests for categorical distiribution and an average 10 Comparing the ratio of two groups, statistical tests for categorical distiribution and an average 11 Ratio of more than two group comparisons, statistical tests for categorical distiribution and an average 12 Relationships between the variables and correlation analysis 13 Multiple analysis methods-1 14 Multiple analysis methods-2

Recomended or Required Reading

Textbook(s): 1.Sağlıkta Araştırma ve Çözümleme, 2006 (Gazanfer Aksakoğlu), 2.Bilimsel Araştırmalarda SPSS for Windows, 1995 (Mustafa Ergün), 3. Bilgisayar Istatistik ve Tıp, 1995 (Murat Hayran, Oktay Özdemir), Referanslar: Materials: Pubmed

Planned Learning Activities and Teaching Methods

Theoretical Lectures, the topics in-class activities (presentations and assignments) to consolidate and discussion and home work.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRF PERFORMANCE 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.20 +PRF * 0.20 + FIN* 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE MTE * 0.20 +PRF * 0.20 +RST* 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

1. The learner will clearly define outlined which will evaluate with exam and 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

on tuesday at: 12.30-13.30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 1 14 Preparations before/after weekly lectures 10 1 10 Preparation for midterm exam 1 8 8 Preparation for final exam 1 12 12 Preparing assignments 1 4 4 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 50

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 LO.1 5 5 LO.2 5 5 LO.3 5 5 LO.4 5 5 LO.5 5 5