Power Analysis in research studies

27 - 29 January 2027 Three days, Belval Campus, Luxembourg Register here

Overview

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/sample size and sensitivity analysis for a variety of design and model parameters will be discussed.

The course will be held on-site over three days, 27 - 29 January 2027: the afternoon of 27 January, the full day of 28 January and the morning of 29 January.

🚧 Work in progress

We’re updating the contents for this course; there will be updates to the tools used as well as the integration of grant writing and ethics applications.

Learning objectives

  • Conceptual understanding 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

Requirements

Prior Knowledge

No prior requirements are needed, however this course assumes you are comfortable with math and inferential statistics.

Material

A laptop is required to follow the examples and assignments. A few examples will require a recent version of R (4.5.0 or later) and an IDE (RStudio, Positron or VS Code) 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.

Preliminary agenda

Day 1 (afternoon)

  • Motivations and principles of power and sample size estimation in research studies
  • Main factors influencing power

Day 2 (full day)

  • Practical applications using G*Power and pwr R package
  • How to write power and sample size section for grant proposals and peer-reviewed articles
  • Simulations for complex study designs and multiple testing correction methods for omic experiments

Day 3 (morning)

  • Power assessment in multiomics experiments
  • Power assessment in RNAseq experiments

Registration

Registration is open with limited places. Therefore, it is confirmed on a first-come, first-serve basis.

Address

University of Luxembourg
Belval campus
Maison du Savoir (MSA), room 4.130
Esch-sur-Alzette

Instructor and Contact

Eleonore Schiltz (LCSB, Elixir-Luxembourg)