The class consists of three modules: Analysis of Variance and Design of Experiments, Categorical or Discrete Data Analysis, and Survival Analysis (Time-to-Event Data Analysis). Students will learn basic principles and methods and how to apply them in data analysis in all three modules.

COURSE OUTLINE

      I.         Design of Experiments

• Components of an experiment, terms and concepts
• Completely randomized designs: Models, parameter estimation, contrasts, checking assumptions
• Multiple comparisons
• Power and sample size
• Fixed, random and mixed models, nesting
• Variance reduction designs: complete block design, latin square

1. Categorical Data Analysis
• Categorical data: nominal vs ordinal
• Two-way contingency tables
• Three-way contingency tables
• Logistic regression
2. Survival Analysis
• Time to event data and censoring
• The survival and the hazard functions
• Survival function estimation
• Cox proportional-hazards regression model

Es wird ein Skriptum zur Lehrveranstaltung angeboten.