The course deals with simple quantitative and graphical as well as more complex methods of biostatistics. Contents: Descriptive statistics, testing hypotheses, confidence intervals, correlation, simple and multiple linear regression, classification and prediction, diagnostic tests, measurement of agreement, causality versus association.
Learning objective
- know the commonly used methods in biostatistics - perform simple data analysis with R
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course