I am in the final stages of a meta-regression on disease prevalence data and potentially associated covariates. I've entered the data as raw proportions and am using the logit transformed event rate as my effect size. I have standardized coefficients, standard error, confidence intervals, z-values, and p-values for the intercept and covariates for each of my models. I know that I need to inverse the logit transformation for my intercept in order to be able to interpret it as a raw proportion, but my question is: do I need to conduct any type of inverse logit transformation on the regression coefficients for the covariates?
Thanks to anyone willing to offer feedback on this question--I greatly appreciate it!