I'm working on a health care regression model predicting # of inpatient visits. My analysis dataset includes a number of hybrid continuous/categorical predictor variables which can hold values on a 0 to 1 scale, inclusive. The variables are measuring the proportion of hospital inpatient visits for which a particular diagnosis category were reported (so if 5 out of 10 visits were due to asthma for a particular patient, then the asthma variable = 0.5).
I'm using the glmnet package in R to run a penalized lasso regression. Should I standardize the [0, 1] predictor variables? Technically they are continuous variables, however I'm worried that the upper and lower limits may make interpretation difficult if I standardize.
Thanks!
