Hi,
I have a randomised parallel group trial. Subjects were randomly selected for one of three treatment groups. They were seen for Baseline, 1-week and 2-week visits. We would like to look for differences between both visits and groups. The dependent variable is continuous and follows a close to normal distribution. The data was analysed using a mixed model analysis with visit, group, and visit*group interaction as fixed factors and subject as a random factor.
However, it was found that there were differences between the groups at baseline. I have been asked to repeat the analyses using differences from baseline, i.e. using a model as above (except visit would only have two levels not three).
I was thinking that a better way would be to add the baseline score as a covariate in the mixed model analysis.
Could anybody help me with which method to follow and why or point me to a reference to help?
Regards,
Chris
Chris Hunt wrote
I think you are right. I think this is really the point of mixed models.
See, e.g., Hedeker and Gibbons, Longitudinal Data Analysis
HTH
Peter
--
To post a new thread to MedStats, send email to MedS...@googlegroups.com .
MedStats' home page is http://groups.google.com/group/MedStats .
Rules: http://groups.google.com/group/MedStats/web/medstats-rules
Sent using BlackBerry® from Orange
Peter and Munya - Thank you very much for your replies.