Dear fellow R-users, I’m using the Glm function (gamma family of distributions) from the rms package to compare 2 groups on costs data. Although the summary function does provide the mean cost difference and standard errors, I believe these values were in the (natural) log ratio format. Is there a function to express these values into the original scale of the response variable (i.e., dollars) such that I could obtain the mean adjusted cost difference (and the 95%CI)?
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