I was introduced to the following study.
It seems to me that they are comparing three groups with a lot of predictors. If this was my study I would have just ran a mixed model or an ANOVA to compare the three groups. However, in this study they use about 10 different regression models, some more obscure than others, and I can't seem to make sense of it.
Is it just me who has a lot to learn? How is this selection of models in the eyes of a statistician?