Face to face lectures in the Laboratory of Biomathematics of the Department and the auditorium

MANDATORY PRESENCE:  YES

Use of the statistical package SPSS.

Use of ICT in communication with students (website, e-mail, etc.)

Written final exam in Greek which includes the analysis of both real and educational data sets with a multiple choice test and a problem-solving test. Compulsory, usually individual, assignments are given during the semester.

Statistics is the core of modern scientific methodology. Its role is the most important in medical research and practice. With its knowledge we are able to conduct scientific research and correctly evaluate the findings of studies. Statistics is essential for designing experiments and studies, analyzing and presenting them, and using them to draw conclusions. 1o PhD, tmprotsis@uth.gr
In this course, the theory is applied, with the help of a computer and the use of the statistical program SPSS. The specific objectives of the course are specified in the following intended learning outcomes:
Upon successful completion of the course, the student will be able to:
Will be able to use the acquired knowledge in order to:
They will be able to use the acquired knowledge to:
• enter and manage medical data in SPSS
• conduct descriptive statistical analysis of data from clinical studies, i.e. to present the available data in a concise manner (with graphical and quantitative data description methods)
• conduct statistical analyses of medical data from clinical studies using medical statistical methods (such as t-test, ANOVA, χ2 test, Odds Ratio, ROC analysis, Regression, Non-parametric tests, Survival analysis, Design and Analysis of clinical studies, Meta-Analysis)
• present the results of statistical analyses of data from clinical studies
• interpret the results of statistical analyses of data from clinical studies
• be able to collaborate with fellow students in research and analysis of international medical literature

General Abilities

Search, analysis and synthesis of data and information, using the necessary technologies
Decision-making
Autonomous work
Promotion of free, creative and inductive thinking

Unit 1
Probabilities
Unit 2
Graphical and Quantitative Methods of Data Description
Unit 3
Normal Distribution
Unit 4
t-test for paired observations
Unit 5
t-test for two independent samples
Unit 6
Analysis of Variance
Unit 7
Comparison of Proportions
Unit 8
Correlation Tables -χ2 test
Section 9
Odds Ratio
Section 10
Diagnostic Tests
Section 11
Correlation Coefficient
Section 12
Linear Regression
Section 13
Non-Parametric Tests
Section 14
Survival Analysis
Section 15
Design and Analysis of Clinical Trials
Section 16
Meta-Analysis
Each module is followed by laboratory exercises using the SPSS statistical package on a PC.