Applied Biostatistics aims to provide an overview of the basic statistical methods and inference applied to medicine and the use of statistical software. Students will understand the importance of sampling variation and its role in confidence intervals and hypothesis testing will be discussed. The statistical methods will be applied to simple medical datasets using the statistical software SPSS and results will be interpreted. Methods covered include: summarizing and presenting data, methods to compare means, variances and proportions, correlation, multiple linear and logistic regressions and non-parametric methods. The general idea of the clinical trial will also introduced and appreciate its usefulness in comparing two or more clinical treatments.
- Teacher: Demetris Lamnisos