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  • Outputs from mixed models.

    Hi Statalist,

    I am currently running mixed models to look at the differences in BMI trajectories between cases and controls. The model is as follows:

    mixed c.BMI_ i.Case##c.visit##c.visit c.Age i.Gender i.Ethnicity i.Education || ID: c.visit##c.visit,covariance (unstructured) reml
    Case (0, 1): denotes the disease status,
    Visit (-11, -10, 9...0): time variable reflecting the number of years before the occurrence of the disease.
    Age, Gender, Ethnicity, and Education are covariates.

    My questions are:
    1) should I put the quadratic term c.visit##c.visit or just the linear term c.visit for the part after ID.
    2) I mean trying to compare the estimated differences in BMI at each timepoint between the cases and controls (visit=-11, -10....1, 0), using contrast as the postestimation approach after 'margin, at(visit=(-11(1)0)) over(Case)'. However, when I used 'contrast r.Case#c.visit', it shows only one estimate treating visit as a continuous variable. When I specified it as a categorical variable, there was an error message. It seems that the form of the time variable must be consistent across the main and post-analysis. I was wondering if there is a way to do this in STATA?

    Thank in advance.

    Regards,
    TTK
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