COURSE UNIT TITLE

: BIO-STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 5069 BIO-STATISTICS 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

Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies
Biomedical Tehnologies (English)
Statistics
Statistics
STATISTICS

Course Objective

To make students to learn the basic and special concepts of biostatistics, to describe and apply advanced statistical methods that are used in biological data sets.

Learning Outcomes of the Course Unit

1   Describing fundamental concepts of biostatistics, 3. Describing the relation in biostatistics,
2   Describing types of study designs in biostatistics,
3   Describing the relation in biostatistics,
4   Describing the biological data set,
5   Describing some advanced methods which are used for biological data ,
6   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 Basic Concepts and Applications of Biostatistics, Measures of Disease Frequency (Prevalence, Incidence, Risk, Odds, Rate)
3 General Considerations in Medical Research Design (Study Population, Exposure, Outcome and Disease Variables, Ratios, Study Designs: Observational Studies and Clinical Trials)
4 Special Concepts and Categories of Observational Studies (Case Series and Cross Sectional)
5 Special Concepts and Categories of Observational Studies (Cohort, and Case Control)
6 Special Concepts and Categories of Clinical Trials (Patient and Control Groups, Placebo, Blinding, Randomization, Intention-to-treat)
7 Special Concepts and Categories of Clinical Trials (Controlled and Uncontrolled Clinical Trials)
8 Midterm exam
9 Relation of Risk Factor and Disease Variables (Bias and Misclassification)
10 Confounding and Interaction Effects (Crude, Stratified and Common Odds Ratios: Mantel-Haenszel Test, Breslow Day Test)
11 Modelling Quantitative Outcome Variables in Medical Research Design (Linear Regression, ANOVA)
12 Modelling Binary Outcome Variables in Medical Research Design (Logistic Regression Analysis: Logit Function, Likelihood Function)
13 Modelling Binary Outcome Variables in Medical Research Design (Logistic Regression Analysis: Significance of Coefficients: Likelihood Ratio Test, Wald Test)
14 Modelling Binary Outcome Variables in Medical Research Design (Logistic Regression Analysis: Predicted Probability, Goodness of Fit Test: Hosmer Lemeshow Test)

Recomended or Required Reading

Textbook(s):
1. Dawson-Saunders B. and Trapp R. G. (2004). Basic and Clinical Biostatistics, Forth Edition, Appleton&Lange.
2. Woodward M. (2005). Epidemiology: Study Design and Data Analysis, Second Edition, Chapman&Hill.
Supplementary Book(s):
1. Kestenbaum B. (2009). Epidemiology and Biostatistics, Springer.
2. Rosner B. (2000). Fundamentals of Biostatistics, Fifth Edition, Duxbury.
References:

Planned Learning Activities and Teaching Methods

Lecture, homework and problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Exams and homeworks

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 graduate policy at http://www.fbe.deu.edu.tr/

Contact Details for the Lecturer(s)

DEÜ Fen Fakülttesi Istatistik Bölümü
Özgül VUPA ÇILENGIROĞLU
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
Final 1 4 4
Midterm 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.25534
LO.35534
LO.4554
LO.55534
LO.655534

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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