(the lower order terms) are difficult to interpret. If the interaction term is not statistically significant, some would advise dropping the term and rerunning the model with just the main effects, so that the main effects would have an unambiguous meaning. The traditional anova approach would ...
http://support.sas.com/kb/22/585.html http://support.sas.com/kb/38/384.html @someone456 wrote: Hi everyone. I am using Proc GLM with categorical variables as my predictors on number of medications taken. My code looks like this: proc glm data=mydata;class Sex ...
I'm an R noob, I hope you can help me: I'm trying to analyse a dataset in R, but I'm not sure how to interpret the output of summary(glmer(...)) and the documentation isn't a big help: > ... r statistics glm CommunityBot ...