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• W1987624954 abstract "We compared the robustness of univariate and multivariate statistical procedures to control Type I error rates when the normality and homocedasticity assumptions were not fulfilled. The procedures we evaluated are the mixed model adjusted by means of the SAS Proc Mixed module, and Bootstrap-F approach, Brown–Forsythe multivariate approach, Welch–James multivariate approach, and Welch–James multivariate approach with robust estimators. The results suggest that the Kenward Roger, Brown–Forsythe, Welch–James, and Improved Generalized Aprroximate procedures satisfactorily kept Type I error rates within the nominal levels for both the main and interaction effects under most of the conditions assessed." @default.
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• W1987624954 date "2010-02-24" @default.
• W1987624954 modified "2023-10-04" @default.
• W1987624954 title "Analysis of Type I Error Rates of Univariate and Multivariate Procedures in Repeated Measures Designs" @default.
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• W1987624954 doi "https://doi.org/10.1080/03610910903548952" @default.
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