I am performing a randomized controlled trial (RCT) of an educational intervention to improve knowledge, belief and practice among healthcare workers in hospitals. One hospital is assigned to the intervention and the other hospital is selected as a control group. I will measure all outcomes at baseline data from both groups. I wish to compare the effects of my intervention at 1 month post-intervention, then 6 months post-intervention.
I looked at distributions of baseline values. They appear approximately normally distributed and no difference between control and intervention group. Loss to follow up was minimal (110 respondents per group and only 6 respondents loss to follow up in each group).
I know of three modeling approaches: generalized linear models, generalized linear mixed models, and generalized estimating equations. Which is better for this analysis? How do I see the effects of intervention within-and-between group and also if taking into account covariates (age, gender, position etc etc).