Learning Outcomes:
On completion of this module, students should be able to
Understand the importance of data management and biostatistics in clinical research
Understand core considerations of data management, including data security, source data, etc.;
Understand core principles of experimental design - sampling, randomization, types of design etc…
Understand common statistical methodologies applied to data generated from clinical trials
Be able to carry out basic statistical analysis of clinical trial datasets
Create a data management plan for a clinical research project