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Abstract Details
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Activity Number:
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277
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Type:
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Invited
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Date/Time:
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Tuesday, August 2, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #300024 |
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Title:
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Weighted Multiple Comparisons Procedures for Clinical Trials
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Author(s):
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Brian L. Wiens*+ and Alex Dmitrienko
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Companies:
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Alcon Laboratories, Inc. and Eli Lilly and Company
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Address:
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6201 South Freeway, Fort Worth, TX, 76013, USA
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Keywords:
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gatekeeping ;
familywise error rate ;
optimality
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Abstract:
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In choosing a multiple comparison procedure (MCP) for a clinical trial, the weights assigned to each hypothesis must be considered. Optimal weighting depends on the definition of optimality: maximizing the probability of rejecting at least one hypothesis or of rejecting all hypotheses, equalizing the probability of rejecting each hypothesis or some other criterion. We consider various optimality criteria in comparing several MCPs, including the Bonferroni, Holm, fallback and 4A procedures. We find weights that maximize the difference in various pairs of tests in special situations. Choosing weights to equalize the power of various hypotheses makes sense primarily when using the Bonferroni procedure, which is useful in parallel gatekeeping but suboptimal for a single family. We close with some recommendations.
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