Goal:

This course is intended to provide a sound bases for the evaluation and analysis of biological and medical data. All methods are explained along pracitcal examples, allowing the participants to understand the background. The course is to be expressly understood as non mathematical thus not focusing on formula. This course emphasizes the understanding as well as the steps and procedures of proper statistical analysis.

Duration

3 days

Content:

• Descriptive Statistics
• Statistical graphics, What's a good graphics? Bar charts, error bars, and dose-response curves
• Statistical testing, posing and testing hypotheses, a simple t-test
• Designing experiments, the DoE Method, repeated measures
• Other tests, ANOVA (analysis of variance), paired t-test, Wilcoxen Rank Sum test, etc.
• Survival analysis, Keplan-Meier curves and Cox model
• Regression analysis:
• Regression including linear transformations
• Non-linear regression, including dose-response curves

Prerequisites:

None.