Statistical services 

Health-care providers frequently possess complex data, with a) nested structures (e.g. patients per treatment groups) which require advanced statistical models (e.g. multilevel or mixed effects models) to evaluate associations between one or multiple response variables of interest with a set of predictors; b) missing values that require sophisticated imputation schemes and c) outliers which contaminate data and should be analyzed with robust statistical procedures.