Learning Outcomes
Upon completion of this elective module graduate students will be familiar with:
- Formulation of a clear question for a randomized trial
- Varying clinical trial designs (i.e. dose-finding, parallel, factorial, cross-over)
- Different randomization schemes
- Techniques for effective implementation of allocation concealment and blinding
- Sample size calculations
- Design of data collection forms using appropriate electronic data management tools
- Preparation of a statistical analysis plan for a randomized trial incl. handling of missing data
- Dissemination of study findings
- Regulatory framework covering interventional studies in humans
- Ethical issues and dilemmas that are unique to clinical trials
Course Content (Syllabus)
1. Rationale and historical development of clinical trials
2. Trial phases and designs
3. Protocol development and resource planning
4. Compliance with regulatory requirements
5. Methods of randomization
6. Allocation concealment and blinding
7. Ethical issues
8. Sample size calculation
9. Data collection instruments and data management
10. Monitoring trial progress, quality assurance and strategies to boost recruitment
11. Preparation of statistical analysis plan
12. Basic principles of statistical analysis
13. Interpretation of results and dissemination of trial findings
Description
Use of slides (file types: .ppt, .pptx, .pdf) Viewing of recorded lectures (file types: .mp4) Remote synchronous learning (Zoom) Provision / access to multimedia material (papers, websites, videos) (e-learning) Communication via online fora (e-learning) Evaluation via personal computers / multiple-choice questions, which are graded automatically (e-learning) Evaluation via personal computers / submission of files, which are graded by the tutors (e-learning)