Project	Person of contact	Short description
Sample size calculation in animal experiments	Benjamin Mayer, Rainer Muche	Adequate biometric planning of animal experiments, in particular with regard to valid and optimised planning of the required number of cases.
Statistical methods to deal with missing values	Benjamin Mayer	Methods for dealing and replacing missing values in clinical data sets.
SAS-Macros for missing values	Benjamin Mayer	SAS-Macros %MISSING and %MISSDESCRIPTION for diagnostics and replacement of missing values
Methods in health services research	Benjamin Mayer, Jens Dreyhaupt	Dealing with missing values when analysing studies in health services research.
Randomisation	Friederike Rohlmann, Rainer Muche	Investigation of principles and methods as well as their parameter selection, of randomisation software and of corresponding sets of rules.
Prediction models, IDI, NRI	Rainer Muche, Beate Einsiedler
SAS-Macros for prognostic  modelling	Rainer Muche	Development and validation of prognostic models based on logistic regression
Hierarchical and cluster-randomised trials	Jens Dreyhaupt	Sample size and power estimation via simulation in studies with complex hierarchical data
Multistate- models	Karin Schiefele	Multistate-models for time-to-event analysis, especially in oncology