My glucose measure has three groups low glucose, normal glucose levels and high glucose levels. I have an independent variable of interest whose effect on glucose distribution i would like to measure. I have 5 other variables which i know are con founders that i would like to match across my three glucose groups, so their effects are contained. One of these confounders is categorical (gender) and the other continuous. How can i perform matching that matches for all the 5 variables across the three groups? Does Caliper matching work if one of the confounding variables is categorical? and also my dependent variable is not binary, would that be a problem for caliper matching?
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