Dear Statalisters,
I am writing a grant proposal (time is an issue here)
and by study design I will have to analyze serial measurements
in three predefined groups of patients (the outcome variable is continous).
The time between each measure should be uniform in all the patients.
I should have no problems to enroll more than 40 patients per group.
Here are the questions:
1) What should I choose between Univariate ANOVA for repeated measures, MANOVA, random mixed models and general estimating equations, and why ?
Personally, I am fascinated by GEE, but I am not sure this is the easiest/most efficient way to perform a serial measurements analysis.
2) What are the differences between random mixed models and GEE, if any ?
3) I will have to perform a sample-size analysis as well: what I have is baseline mean and SD of the outcome (by previous study) and I should be able to
get mean and SD at the second assessment (by previous pilot study), might you drive me on how to perform a power analysis in this setting ?
Thank you always,
Diego
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