No. The ILINK for dist=lognormal retains values on the transformed scale, because you are modeling the log values as a normal random variable. To get estimates on the original scale, check out the documentation for the MODEL statement. DIST options, and you will see a section that starts out "When you choose DIST=LOGNORMAL..." There are equations for the expected value on the original scale, the variance on the original scale, and the everpopular omega. I use the Estimate value as mu and the squared StdErr value as sigma squared to get back to the original scale. Try it and see... (sound like a drug pusher there). Now for a model that assumes that the error is multiplicative (constant CV), dist=normal link=log, followed by ILINK in the lsmeans statement. Slightly different approach, and may be more appropriate to your data. This will return geometric means on the original scale. Steve Denham
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