The results obtained from my repeated measures analysis are quite unexpected. For the attached data, I am trying to compare 11 time points. Standard one-way ANOVA ("anova1") says the 9th time point is significantly different from many other time points. However, the "multcompare" for repeated measures ANOVA says that the 9th time point is NOT different from any of other time points (p-value > 0.05). This is highly unexpected since one would hope to get higher statistical power with the repeated measures ANOVA approach. How is "fitrm" followed by "multcompare" different than calling "anova1" followed by "multcompare"?
MATLAB: Does “multcompare” output different results in R2014b when data is processed with “fitrm” versus “anova1”
Statistics and Machine Learning Toolbox
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