Dear Researchers,

I am working on comparing two mixed models from the same dataset to determine if reductions in one variable over time are significantly correlated with reductions in another variable over time.

Specifically, I am studying whether a depression treatment not only reduces symptom severity but also lowers the concentration of an inflammatory marker, and I would like to assess whether these reductions are significantly correlated. For that purpose, I performed two different mixed models: one with depression severity as dependent variable and the other one with the concentration of the inflammatory marker as dependent variable. Time variable is included as independent variable.

Since I am unable to perform a multivariate mixed model with two dependent variables, I have researched alternatives and found that comparing slopes from separate models may help evaluate whether changes in these variables (symptom severity and inflammation) over time are correlated.

Therefore, I have a couple of questions:

I am currently using Jamovi for the analysis, but I am open to recommendations for other software that may be suitable for this purpose.

Thank you very much for your help!

Best regards, Bruno