I wonder how do you rank biomarkers examined based on mixed-effects model?
Suppose it is of interest to investigate two biomarkers A and B in their effect on a longitudinal trajectory of Y. Three mixed effects models are estimated: 1) A and adjustors Z; 2) B and adjustors Z; and 3) A/B and adjustors Z. How to test if A/B is better than A?
Suppose it is of interest to investigate two biomarkers A and B in their effect on a longitudinal trajectory of Y. Three mixed effects models are estimated: 1) A and adjustors Z; 2) B and adjustors Z; and 3) A/B and adjustors Z. How to test if A/B is better than A?
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