COURSE UNIT TITLE

: CANCER EPIDEMIOLOGY AND BASIC STATISTICAL METHODS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
OKE 5005 CANCER EPIDEMIOLOGY AND BASIC STATISTICAL METHODS COMPULSORY 2 2 0 5

Offered By

CANCER APIDEMIOLOGY

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR HÜLYA ELLIDOKUZ

Offered to

Oncology Nursing
CANCER APIDEMIOLOGY

Course Objective

Basic concepts related to Probability theory and probability distribution functions, Frequently used parameters and distribution patterns in cancer, Statistical testing and statistical inference concepts, Parametric and nonparametric test concepts, Basic assumptions in test selection appropriate test selection algorithm, Statistical tests related to ratio, categorical distribution and average for single group, Statistical tests related to ratio, categorical distribution and average for comparison of two groups, Relationships between variables and correlation analysis, regression analysis, analysis of variance

Learning Outcomes of the Course Unit

1   Be able to perform works within the framework of the ethical rules in the field of cancer epidemiology.
2   Be able to apply basic statistical methods specific to cancer research.
3   Capable of taking of records of objective data suitable for statistical analysis.
4   Be able to doing basic statistical analysis.
5   Be able to statistically evaluate the literature studies and criticizes them.
6   Capable of studies involving different disciplines makes the group work

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 distribution patterns in cancer,
3 Statistical testing and statistical inference concepts-1
4 Statistical testing and statistical inference concepts-2
5 Parametric and nonparametric test concepts
6 Basic assumptions in test selection appropriate test selection algorithm-1
7 Basic assumptions in test selection appropriate test selection algorithm-2
8 Statistical tests related to ratio, categorical distribution and average for single group -1
9 Statistical tests related to ratio, categorical distribution and average for single group -2
10 Statistical tests related to ratio, categorical distribution and average for comparison of two group1
11 Statistical tests related to ratio, categorical distribution and average for comparison of two group2
12 Relationships between variables and correlation analysis
13 Regression analysis
14 Variance analysis-1
15 Variance analysis-2
16 General evaluation

Recomended or Required Reading

1.Cancer Epidemiyology Principles and Methods.(Internationel Agency for Research on Cancer) WHO
2.Textbook of Cancer Epidemiyology (Hans-Abu Ademi, David Hunter, Dimitrios Trichopoulor) 2002, Oxford University.
3. Sağlıkta Araştırma Teknikleri ve Analiz Yöntemleri (Prof.Dr.Gazanfer Aksakoğlu)

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


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

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)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 16 2 32
Tutorials 16 2 32
Preparations before/after weekly lectures 15 1 15
Preparation for midterm exam 1 10 10
Preparation for final exam 1 19 19
Preparing assignments 5 3 15
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.15
LO.25
LO.35
LO.45
LO.55
LO.65