Digital N-of-1 Trials and their Application

Catalog description

Traditionally, treatment guidelines and health recommendations are based on large cohort studies or randomized controlled trials (RCTs), which provide only average effect estimates. This limits their ability to predict whether an intervention will benefit an individual. With the rise of digital solutions, personalized approaches like N-of-1 trials are gaining traction. These modern designs allow for individual treatment effects and improve population-level effect estimates. This seminar covers N-of-1 trials and other modern study designs such as micro-randomized trials. First, we will get an overview of different study types and their characteristics, then we will give an introduction of the practical aspects for performing N-of-1 trials, and then the main focus of the class will be on methodological approaches for planning and analyzing N-of-1 trials.