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Hi,
We conducted a randomized clinical trial with 4 treatment groups (3 active treatments and placebo) and baseline and 1-year.
Our
primary interest was in examining differences in linear rates of change
between each of the active treatment groups and the placebo group on
select outcome measures from baseline to 1-year. I conducted a
multilevel random coefficient model and included a random intercept to
account for individual differences at baseline. Is this statistical
method better than conducting ANCOVAs where the final score is the
dependent measure and
the baseline value as the covariate? Any input and/or pertinent
references to this issue would be greatly appreciated.
Thanks in advance,
Leah
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