Hello, All, I have monthly claims data with 27% having zero value, and some monthly values exceeding $1M. Members can have 12 months of data. As a repeated measure, I'm using GLIMMIX to predict the monthly value where, in a data step to prepare the data, I'm using the statement: if COST = 0 then dist = "POISSON"; else dist = "GAMMA"; This simulates a Tweedie distribution. Then in the model, I have: proc glimmix data = DSN method = quad; class month dist plan; model COST = month plan / solution DIST=byobs(dist) ; random intercept / subject = member TYPE = Toeplitz ; estimate "Plan vs No Plan" intercept 1 plan 0 1 / E ilink; estimate "Month 1: Plan vs no plan" intercept 1 month 1 0 0 0 0 0 0 0 0 0 0 0 0 0 plan 0 1 / E ilink; run; title1; E and ILINK provides me with a mean estimate but it is not in scale of the COST. What is the back transformation from the estimated mean to recover the actual cost? Thanks.
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