On Adaptive Extensions of Group Sequential Trials for Clinical Investigations

Keaven Anderson
Merck

Friday, April 4th
11:00am
Mayo D325
Minneapolis Campus

Abstract:

In group sequential trials, it is important to obtain adequate data to assess overall benefits and risks for patients using the medical product. To achieve this goal, we provide a general, formal framework for adaptively extending a group sequential trial to stop at any interim analysis time, often after a significance boundary for a clinical endpoint is crossed. For statistical inference, we propose to order the sample space by a class of well-ordered group sequential tests. On this basis, we develop a unified sequential statistical inference approach that is applicable to both interim monitoring and final analysis. We also show that the new ordering provides the foundation for the repeated confidence intervals procedure of Jennison and Turnbull (1989).

This is joint work with Qing Liu.

A social tea will be held at 10:30 A.M. in A434 Mayo. All are Welcome.
For more details contact 612-624-4655 or see http://www.biostat.umn.edu/seminar_academic.html