How to perform regression analysis with random effects that cluster on the subject level?
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I would very much appreciate some help on the following:
I would like to perform a regression analysis on a dichotomous dependent variable Y using the variables A (Scale), B (Scale), and C (Categorical) as predictors. Furthermore, I would like to adjust for clustering on the subject level (ID). How can I perform such a regression analysis?
I was able to perform the regression without the subject clustering:
ds = dataset(A, B, C, Y, 'Varnames', {'A','B','C','Y'});
modelspec = 'Y ~ A + B + C';
mdl = fitglm(ds, modelspec, 'Categorical', [3], 'Distribution', 'binomial', 'Link', 'logit');
But how can I extend the model for the adjustment for the clustering on the subject level? Thanks in advance!
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