4 papers
Multiple type I error concepts for clinical trials with overlapping populations
Remi Luschei, Werner Brannath
The population-wise error rate (PWER) was introduced as a more liberal alternative to the family-wise error rate (FWER) for clinical trials with multiple, overlapping patient popul…
A prediction interval for the population-wise error rate
Remi Luschei, Werner Brannath
We construct an asymptotic prediction interval for the population-wise error rate (PWER), which is a multiple type I error criterion for clinical trials with overlapping patient po…
Family-wise error rate control in clinical trials with overlapping populations
Remi Luschei, Werner Brannath
We consider clinical trials with multiple, overlapping patient populations, that test multiple treatment policies specifically tailored to these populations. Such designs may lead…
The effect of estimating prevalences on the population-wise error rate
Remi Luschei, Werner Brannath
The population-wise error rate (PWER) is a type I error rate for clinical trials with multiple target populations. In such trials, a treatment is tested for its efficacy in each po…