Activity Number:
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92
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 12, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section*
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Abstract - #301080 |
Title:
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A Note on ANOVA Assumptions and Robust Analysis for a Crossover Study
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Author(s):
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Xun Chen*+
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Affiliation(s):
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Merck Research Laboratories
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Address:
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RY34-A304, Rahway, New Jersey, 07065, usa
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Keywords:
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Crossover ; Robust
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Abstract:
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Analysis of variance (ANOVA) methods are usually applied to analyze continuous data from crossover studies. The analysis, however, may not have appropriate type I error when certain assumptions are violated. In this paper, we first clarify a conventionally minimum set of assumptions that validate the F-tests of ANOVA models for crossover studies. We then provide a practical verification/remedy procedure based upon the theoretical developments. By applying the verification/remedy procedure, more robust analysis results can be expected from the ANOVA models.
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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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