Hello!
I would like to run a mixed effect model to investigate the effect of the independent variable (say x) to the outcome (say y).
For each patient, there are 10 vessels and for each vessel there are multiple measurements. Therefore, there are two levels of clustering, ie. patient and vessel.
My first thought was to run a three-level model with random intercepts by patient and vessel with vessel nested within patient:
mixed y x || patient: || vessel:
However, I am confused by the vce(cluster clustvar) option of the command and I am not sure whether I should include it in the model or not.
Any advice would be helpful. Thank you in advance.
I would like to run a mixed effect model to investigate the effect of the independent variable (say x) to the outcome (say y).
For each patient, there are 10 vessels and for each vessel there are multiple measurements. Therefore, there are two levels of clustering, ie. patient and vessel.
My first thought was to run a three-level model with random intercepts by patient and vessel with vessel nested within patient:
mixed y x || patient: || vessel:
However, I am confused by the vce(cluster clustvar) option of the command and I am not sure whether I should include it in the model or not.
Any advice would be helpful. Thank you in advance.
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