Semester: 2nd
Type: Compulsory
ECTS: 4
Distance learning: 75%
Learning objectives:
Knowledge
Upon successfully completing this course, students will be familiar with:
• The main differences between the types of studies of comparing populations
• The appropriate summary measure of variables for quantitative and qualitative data
• The difference between a sample and the population from which it came
• The characteristics of the normal distribution and the difference from the asymmetric distribution
• The sampling distribution and the concept of standard error of the mean
• The methodology of hypothesis testing, the concepts of p value, the level of significance and confidence interval, the types of I and II errors
• The basic parametric and non-parametric tests through real examples in the health and life sciences
• In which data can be applied the survival analysis and how to conduct such an analysis
Capacities
The course participants upon completion will be able to:
• Understand and compute the descriptive statistical measures that appear in the medical scientific articles
• Formulate and interpret graphs appropriately
• Calculate association measures such as mean differences, risk differences, relative risks, odds ratios and incidence rate ratios related reason and impact-rates
• Calculate the appropriate sample size of a survey
Syllabus:
- Biostatistics (SPSS)
- Sample size calculation
- Literature search
- Publication ethics
- Oral and poster presentation
- Design of a research protocol
- How to write a paper
Lecturers:
Bamidis Panagiotis, Professor of Medical Physics and Informatics in Medical Education
Antonitsis Polychronis, Assoc. Professor of Cardiac Surgery
> Back to :
Course Schedule by Semester