Power and Sample size estimation represent one of the most important decisions researchers make. Intervention studies which enrolled too many patients might expose people to unnecessary risks. Intervention studies enrolling too few patients fail to detect the desired effect under the study and they expose patients to possible and needless risks. Accurate power assessment must be an integral part of any grant proposal and research study plan.
This course is aimed at researchers in any field who design or conduct research studies. Examples of power and sensitivity analysis for a variety of design and model parameters will be discussed, including examples of multiomics studies.
The course will be held on-site over two afternoons on 24th and 25th of October 2022, tentatively 14:00 - 17:00.
- Conceptual understanding of the concept of statistical power in research projects
- Learning misconceptions and pitfalls
- Knowing the key factors influencing power
- Gain experience with tools/software for conducting power analyses
- Reporting power assessments into research study plans
No prior requirements are needed, however this course assumes you are comfortable with basic math and statistics.
A laptop is required to follow the examples and assignments.
A few examples will require a recent version of R (4.1.3 or later) and RStudio installed. Please look at install tutorial to set it up prior to the course.
If you’re not familiar with R, you can skip the examples and the installation.
Detailed plan will be made available in early October.
Registration is open with limited places.
Instructor and Contact
Veronica Codoni (LCSB, Elixir-Luxembourg)