Modelling Experimental Mammary Adenocarcinoma Growth,
Using Nonlinear Mixed-Effects Models and S-Plus
by Rachid El Halimi, Jordi Ocaņa, M. Carme Ruiz de Villa, Montserrat Solanas,Eduardo Escrich.
The process of fitting a non-linear mixed model to longitudinal data can be complex
if the data show high inter-subject variability. In order to illustrate all the steps
if this process, we analyse the data from an experiment on breast cancer where the
growth of the tumour volume is modelled in order to determine the influence of an
external factor, diet. S-Plus software has been used, and the most relevant sentences
to follow the analysis are described. Some strengths and weaknesses of this software
tool are also included in the discussion.
Nlme library, repeated measures, residuals heteroscedasticity and correlation
M. Carme Ruiz de Villa, email@example.com
ordi Ocaņa, firstname.lastname@example.org
Rachid El Halimi,
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