Weighted Logrank Statistics in Sequential Tests

Abstract

Fully sequential generalization of some group sequential tests currently in use in clinical trials are considered. The model is censored data with random staggered entry, and it is used for the comparison of two treatments. Results show that the sequential tests can outperform group sequential tests and provide more information about the nature of relationship of the two treatments. Furthermore, they allow complete freedom in scheduling data evaluation.