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

INSTRUCTOR ÖZGÜL VUPA ÇILENGIROĞLU

Offered to

Biomedical Tehnologies (English)
Industrial Ph.D. Program In Advanced Biomedical Technologies
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 elements of 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 Basic Concepts and Applications of Biostatistics
2 Measures of Disease Frequency (Prevalence, Incidence, Risk, Odds, Rate)
3 General Considerations in Medical Research Design (Study Population, Exposure and Outcome, Study Designs: Observational Studies and Clinical Trials)
4 Special Concepts and Categories of Observational Studies (Measures of Association Between Risk Factors and Disease: Risk and Odds Ratios; Case Series)
5 Special Concepts and Categories of Observational Studies (Cohort, Cross Sectional and Case Control)-homework1
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 Discussion on midterm exam questions
10 Relation of Risk Factor and Disease (Bias and Misclassification, Confounding and Interaction Effects, Crude, Stratified and Common Odds Ratios)
11 Modelling Quantitative Outcome Variables in Medical Research Design (Balanced and Unbalanced ANOVA)-homework2
12 Modelling Binary Outcome Variables in Medical Research Design (Logistic Regression Analysis: Logit Function and Coefficients)
13 Modelling Binary Outcome Variables in Medical Research Design (Logistic Regression Analysis: Predicted Probability, Significance of Coefficients, Goodness of Fit Tests )
14 Review before Final exam

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.

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 * 0.40 +ASG * 0.10 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 +ASG * 0.10 +RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Exams and homeworks

Language of Instruction

English

Course Policies and Rules

Student responsibilities:
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)

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 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 30 30
Preparation for final exam 1 40 40
Preparing assignments 2 10 20
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 164

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15
LO.25
LO.35
LO.45
LO.555
LO.655

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

Copyright 2012 DEÜ. BİD

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