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Activity Number:
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475
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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| Abstract - #304914 |
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Title:
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A Powerful and Robust Test Statistic for Randomization Inference in Group Randomized Trials
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Author(s):
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Kai Zhang*+ and Dylan Small
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Companies:
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University of Pennsylvania and University of Pennsylvania
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Address:
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3730 Walnut Street, Philadelphia, PA, 19104,
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Keywords:
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Randomization inference ; Group-randomized trials ; Rank based statistics ; Robustness
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Abstract:
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For group randomized trials, randomization inference based on rank statistics provides robust, exact inference. However, in a matched pair design the currently available rank based statistics lose significant power compared to linear mixed model (LMM) test statistics when the LMM is true. In this research we investigate and develop rank based statistics that are as powerful as the LMM even when the LMM is true. Exact inference based on the statistics is considered and simulation is conducted to examine the power.
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