Clinical Research (MSc)

How to formulate a research question (FINER, PICOT)

Select study population (inclusion/exclusion criteria)

Randomisation

Blinding methods and unblinding problems

Statistical methods (data distribution and classification, statistical tests, sample size calculation, survival analysis, missing data imputation and meta-analysis)

Data collection (electronic capture)

Data monitoring (interim analysis, DSMB)

Scientific reporting (include training in manuscript writing)

Types of study designs and clinical study phases (observational studies, non-inferior and adaptive designs and randomised clinical trials, phase 0 to IV)

Applied biostatistics and clinical practice

Data visualisation, data and data sources

R/RStudio hands-on workshop

Scientific presentation

Handling of modern media

Health economic outcome research

Big data and artificial intelligence (AI)

Real-world data ("RWD") / real-world evidence ("RWE")

Health technology assessment ("HTA")