Applied Biostatistics aims to provide an introduction to important statistical methods that are widely implemented in quantitative research in medicine. Students will understand the concept of sampling variation and its critical role in the construction of confidence intervals and hypothesis testing. The statistical methods will be applied to simple medical datasets using the statistical software SPSS and results will be interpreted.

More particularly, they will be covered the following statistical concepts: types of data, tables and charts, probability and Normal distribution, confidence interval for a population mean and the difference between two population parameters, hypothesis tests about the difference between two population parameters and the ratio of two population parameters, the x2 test, association between two numerical variables, linear and logistic regression models, power of a test and sample size calculation in study designs.

- Teacher: Demetris Lamnisos