I just received a copy of this book (ISBN: 978-1-4398-1512-0) and am very
favorably impressed - except for his using SAS PROC GLMMIX and for writing
really long tedious equations for calculations that can be much more
succinctly expressed.

I would recommend to those subscribed to this list to read at least the
preface and the introductory chapters 1 and 2.   He is quite eloquent about
the harm caused by teaching the "X\beta + e" mindset that causes so much
confusion as one tries to extend the linear regression model to other
forms.  His idea of starting with the generalized linear mixed model
framework and showing how it specializes to other forms is absolutely the
way to go.  One of his suggestions is to start statistics graduate students
on the general form so that you don't teach them concepts they will later
need to unlearn and, again, I agree wholeheartedly with him.

I have only skimmed a few chapters and am quite confident that I will find
parts with which I disagree but on balance I think it is a big step forward.

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