Go to JKU Homepage
Institute of Applied Statistics
What's that?

Institutes, schools, other departments, and programs create their own web content and menus.

To help you better navigate the site, see here where you are at the moment.


Research Seminar Applied Statistics

Mai 12th - S3 047 - Prof. Dr. Werner Brannath, University Bremen: A liberal type I error rate for studies in precision medicine
(joint work with Charlie Hillner and Kornelius Rohmeyer)

zoom link, opens an external URL in a new window

meeting ID: 937 6054 7545

password: 946296

Abstract: We introduce a new multiple type I error criterion for clinical trials with multiple populations. Such trials are of interest in precision medicine where the goal is to develop treatments that are targeted to specific sub-populations defined by genetic and/or clinical biomarkers. The new criterion is based on the observation that not all type I errors are relevant to all patients in the overall population. If disjoint sub-populations are considered, no multiplicity adjustment appears necessary, since a claim in one sub-population does not affect patients in the other ones. For intersecting sub-populations we suggest to control the average multiple type error rate, i.e. the probably that a randomly selected patient will be exposed to an inefficient treatment. We call this the population-wise error rate, exemplify it by a number of examples and illustrate how to control it with an adjustment of critical boundaries or adjusted p-values. We furthermore define corresponding simultaneous confidence intervals. We finally illustrate the power gain achieved by passing from family-wise to population-wise error rate control with two simple examples and a recently suggest multiple testing approach for umbrella trials.


Time & date

May 12, 2022

16:30 - 18:00 PM

Add to my calendar


S3 047, Science Park 3