This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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409
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #308474 |
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Title:
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On Optimal Grouping Strategies Using Parallel Gatekeeping Procedures
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Author(s):
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Haiyuan Zhu*+
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Companies:
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Forest Research Institute
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Address:
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Forest Research Institute, Jersey City, NJ, 07311,
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Keywords:
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multiplicity ;
gatekeeping procedure ;
hypotheses grouping ;
power
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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