Comparing different methods of handling overrun in group sequential trials.
Monday, October 8, 2012 3:55 PM - 5:00 PM
A common occurrence in sequential clinical trials is the accrual of data after a stopping region has been reached. The data acquired after a stopping boundary has been passed is called overrun and
several methods have been examined for dealing with overrun. Four methods were explored by Sooriyarachchi et al (2003) using an analysis-time ordering of the outcome space, which orders
observations based on the observed statistic (ie: sample mean) and the time of the analysis. Another approach is to order the outcome space by the sample mean (maximum likelihood ordering), which
orders observations solely on the observed statistic. In this talk, I use simulations to compare the deletion and combining p-values methods using these two orderings of the outcome space.