This course gives an overview of the most commonly used analyses linking them to study design, including descriptive statistics, estimation and hypothesis testing, t-test, chi-squared test, correlation, linear regression, logistic regression, non-parametric tests, an introduction to probability theory and basic concepts in the evaluation of medical tests.
In addition to lectures, students will receive practical instruction with a focus on the SPSS statistical software package.

Learning outcomes

At the end of this course, students will be familiar with the statistical methods now employed in medical research. They will also understand how to interpret the results. Sound knowledge of statistical methods and their applications in medical research allows the choice of the appropriate study designs and data analysis methods that ultimately lead to valid conclusions based on evidence. That is the cornerstone of evidence-based medicine.

 

Head Professor: Klea Katsouyanni