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.

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.

The following teaching notes are distributed: 

1. Zintzaras Elias (2008). BIOSTATISTICS WITH COMPUTATIONAL MEDICAL STATISTICS ELEMENTS. Data Analysis with the Help of Statistical Packages (SPSS)

 (available on the course website as well as teaching material)

 In addition, the following bibliography is indicated as an example 

1. DENNIS HOWITT, DUNCAN CRAMER (Editor: S. Kontakos). Statistics with SPSS 16.0. Kleidarithmos Publications 

2. Carver and Nash (2006). Doing data analysis with SPSS version 18.