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mixed effect models where time ordering is important

John Maindonald 
A quick initial response!  The starting point needs to be plots of weight vs time
for each rat separately, distinguished by treatment group.  These may not be
linear.  You may want to look at log(weight) vs time.  You may need to transform
the time scale to get something close to linear.  Sort out the error structure 
(is there a consistent difference in the pattern of change with time?) once you 
have a reasonable model for the pattern of change with time, for individual mice, 
perhaps somewhat separately for each dose.

John Maindonald             email: john.maindonald at anu.edu.au

Thread (7 messages)

Gosse, Michelle mixed effect models where time ordering is important Apr 21 John Maindonald mixed effect models where time ordering is important Apr 21 Gosse, Michelle mixed effect models where time ordering is important Apr 21 Steven J. Pierce mixed effect models where time ordering is important Apr 22 Gosse, Michelle mixed effect models where time ordering is important Apr 22 Ken Beath mixed effect models where time ordering is important Apr 22 Gosse, Michelle mixed effect models where time ordering is important Apr 22