Statistical Monitoring of Clinical Trials with Multivariate Response or Multiple Arms Using Repeated Confidence Bands
by
Lihui Zhao
Simon Fraser University
Coauthors: X. Joan Hu (Simon Fraser University) Stephen W. Lagakos (Harvard University)

Clinical trials with multivariate response or multiple arms have become increasingly common because of their potential efficiency and cost saving. Interim analyses of such studies are often guided by parametric assumptions for the underlying probability models. There are situations where it is not clear at the outset how the responses differ among the treatment groups and what kinds of differences are clinically meaningful. More flexible designs and monitoring procedures are therefore desirable. In this talk, we extend the repeated confidence bands approach (Hu and Lagakos, 1999) to studies with multivariate target function. We use a recent AIDS clinical trial to illustrate how to apply the multivariate repeated confidence bands (MRCB) approach in practice.

Date received: February 19, 2007