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A note on ANOVA assumptions and robust analysis for a cross-over study.

Xun Chen·Peng-Liang Zhao·Ji Zhang
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Abstract

Analysis of variance (ANOVA) methods are usually applied to analyse continuous data from cross-over 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 cross-over 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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Analysis of VarianceAntihypertensive AgentsBlood PressureCross-Over StudiesHumansModels, StatisticalJournal Article

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Xun Chen, Peng-Liang Zhao, Ji Zhang. 2002-05-30. A note on ANOVA assumptions and robust analysis for a cross-over study.. https://doi.org/10.1002/sim.1103

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