COURSE UNIT TITLE

: BIOSTATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 3167 BIOSTATISTICS ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÖZGÜL VUPA ÇILENGIROĞLU

Offered to

Statistics
Statistics(Evening)

Course Objective

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

Learning Outcomes of the Course Unit

1   Describing fundamental elements of biostatistics,
2   Distinguishing types of study designs in biostatistics,
3   Describing the relation in biostatistics,
4   Describing the biological data set,
5   Describing some special 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 (Data, Variable, Sample, Population, Statistic, Parameter)
2 Basic Concepts and Applications of Biostatistics (Central Tendency and Variability, Graphs, Estimation, Hypothesis Testing)
3 Estimating and Comparing Means, Variances and Proportions in Medical Data
4 Contingency Tables in Medical Data and Chi-Square Test
5 General Considerations in Medical Research Design (Measures of Disease Frequency, Study Population, Exposure, Disease and Outcome, Risk Ratio, Rate Ratio, Odds Ratio)
6 Study Designs (Observational: Cross Sectional, Cohort and Case Control, Case Series)
7 Bias and Misclassification (Differential and Non-Differential)
8 Midterm Exam
9 The Confounding Effect (Crude and Stratified Odds Ratios, Common Odds Ratio: Mantel-Haenszel Test)
10 The Interaction Effect (Homogeneity of the Odds Ratio:Breslow Day Test)
11 Secreening Tests and ROC Curve (Sensitivity and Specificity)
12 Modelling Ouantitative Outcome Variables for Medical Research
13 Modelling Binary Outcome Variables for Medical Research (Logistic Regression Model: Logit Function, Likelihood Function, Maximum Lilkelihood Estimation)
14 Modelling Binary Outcome Variables for Medical Research (Logistic Regression Model: Significance of Coefficients, Predicted Probability)

Recomended or Required Reading

Textbook(s):
Dawson-Saunders B. and Trapp R. G. (2004). Basic and Clinical Biostatistics, Forth Edition, Appleton&Lange.
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


*** 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 undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

Dr. Özgül VUPA ÇILENGIROĞLU
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 13 3 39
Preparations before/after weekly lectures 13 3 39
Preparation for midterm exam 1 10 10
Preparation for final exam 1 20 20
Preparing assignments 2 6 12
Midterm 1 4 4
Final 1 4 4
TOTAL WORKLOAD (hours) 128

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.1553445
LO.2553445
LO.3553445
LO.455445
LO.5553435
LO.65553435

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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