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

Mandatory attendance of Workshops

Use of statistical package SPSS

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

Statistics is the core of modern scientific methodology. Its role is most important in medical research and practice. With its knowledge we are able to conduct scientific research and to correctly evaluate the findings of studies. Statistics are essential for the design of experiments and studies, their analysis and presentation, and their utilization in drawing conclusions.

In this course the theory is applied, with the help of the computer and the use of the statistical program SPSS

The specific objectives of the course are specialized in the following intended learning outcomes:

Upon successful completion of the course, the student will be able to:

He/she will be able to use the acquired knowledge in order:

• to enter and manage medical data in SPSS
• to conduct descriptive statistical analysis of data from clinical studies, i.e. to summarize the available data (with graphical and quantitative methods of data description)
• to conduct statistical analyses of medical data from clinical studies using medical statistical methods (such as t-test, ANOVA, χ2 test, Ratio of proportions, Diagnostic tests-ROC analysis, Regression, Non-parametric tests, Survival analysis, Design and Analysis of clinical studies, Meta-Analysis)
• to present the results of statistical analyses of data from clinical studies
• to interpret the results of statistical analyses of data from clinical studies

• to be able to collaborate with fellow students in order to search and analyze the international medical literature

General Abilities

Research, analysis and synthesis of data and information, using the necessary technologies

Decision making

Autonomous work

Promoting free, creative and inductive thinking

Section 1

Probabilities

Section 2

Graphical and Quantitative methods of data description

Section 3

Normal distribution

Section 4

t-test for paired observations

Section 5

t-test for two independent samples

Section 6

Analysis of variance

Section 7

Compare rates

Section 8

Correlation tables -x2 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 Studies

Section 16

Meta-Analysis

Each module is followed by laboratory exercises using the SPSS statistical package on PC.

Teaching notes are distributed:

Elias Zintzaras (2008) BIOSTATISTICS WITH ELEMENTS OF COMPUTATIONAL MEDICAL STATISTICS. Data Analysis with the help of Statistical Packages (SPSS) (available on the laboratory website as well as teaching materials) 

In addition, the following bibliography is indicated

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

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