thank you to all of those who responded to my mail. The following is a list of the books which were recommended, with the comments received
Applied Longitudinal Analysis (Fitzmaurice, Laird & Ware, 2004, Wiley)
-which I think is very good and clearly explained.
-It is excellent...don't have a lot of Math and most of the output used came from SAS.
Verbeke, G., and Molenberghs, G. (2000). Linear Mixed Models for Longitudinal Data. New York: Springer-Verlag.
Molenberghs, G. and Verbeke, G., (2005). Models for Discrete Longitudinal Data. New York: Springer-Verlag.
-These are both written for SAS users, but I think the theory is there as well
" Linear mixed models in practice" by Geert Verbeke and Geert Molenberghs
-give a good introduction to longitudinal analysis.
Analysis of Longitudinal data, Diggle, Zeger, and Liang (1994)
-must be read
-is very thorough and quite readable, but not a load of practical examples.
a book by Lindsey, J in the same series, the name of which is something like Repeated Measures Model.
Consider also the following paper:
Cole, DA, and Maxwell, SE (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modelling. Journal of Abnormal Psychology 112(4): 558-577
published by statapress 'Multilevel and Longitudinal Modelling' by Skrondal and Rabe-Hesketh
-which is a very good introduction to stata's xt commands with lots of practical examples. It doesn't deal with very complicated examples nor go into much theory, but is a good starter to what Stata has to offer.
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