I have done some reading about halving the p-value (difference in -2LL) when comparing 2 different models produced by proc mixed. Is it more appropriate this way?
Your advice is greatly appreciated. Have a great day.
Check the AIC values( Akaike's Information Criteria) when comparing between models using PROC MIXED. The model with a smaller value of AIC is a better fit of the data
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.