This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 409
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #308474
Title: On Optimal Grouping Strategies Using Parallel Gatekeeping Procedures
Author(s): Haiyuan Zhu*+
Companies: Forest Research Institute
Address: Forest Research Institute, Jersey City, NJ, 07311,
Keywords: multiplicity ; gatekeeping procedure ; hypotheses grouping ; power

Multiple hypotheses are common in clinical trials, and it is often required to control the Type I error rate across hypotheses. When the hypotheses are tiered to several families based on clinical importance (primary, secondary etc), serial or parallel gatekeeping procedures can used for multiplicity adjustment. When several hypotheses share the similar clinical importance, and therefore belong to the same family, one can use an appropriate multiple testing procedures (e.g. Hochberg). Concerns arise, however, when the number of the hypotheses in the family increase and some promising hypotheses may loose the chance of being tested. In this research, we will explore an alternative approach that divides hypotheses into ordered groups and tests them using parallel gatekeeping procedures. The power performances of various grouping strategies will be evaluated.

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