Abstract
Doubly multivariate ANOVA (analysis of variance) is for studies with multiple paired observations and more than a single outcome variable. An example is in the SPSS statistical software tutorial case studies: in a diet study of overweight patients the triglyceride and weight values were the outcome variables and they were measured repeatedly during several months of follow up. This chapter is to explain advantages, as compared to traditional methods, in preventing type I errors from being inflated, and accounting multiple effects simultaneously.
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Cleophas, T.J., Zwinderman, A.H. (2020). Doubly Multivariate Analysis of Variance for Multiple Observations from Multiple Outcome Variables (16 Patients). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_46
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DOI: https://doi.org/10.1007/978-3-030-33970-8_46
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33969-2
Online ISBN: 978-3-030-33970-8
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