Blinded sample size re-estimation in equivalence testing
Applications
2021-09-08 v1 Methodology
Abstract
This paper investigates type I error violations that occur when blinded sample size reviews are applied in equivalence testing. We give a derivation which explains why such violations are more pronounced in equivalence testing than in the case of superiority testing. In addition, the amount of type I error inflation is quantified by simulation as well as by some theoretical considerations. Non-negligible type I error violations arise when blinded interim re-assessments of sample sizes are performed particularly if sample sizes are small, but within the range of what is practically relevant.
Cite
@article{arxiv.1908.04695,
title = {Blinded sample size re-estimation in equivalence testing},
author = {Ekkehard Glimm and Lillian Yau and Heike Woehling},
journal= {arXiv preprint arXiv:1908.04695},
year = {2021}
}
Comments
25 pages, 7 figures