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From | "Jesper Lindhardsen" <JESLIN01@geh.regionh.dk> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | st: RE: How to "reverse" log transformated result |
Date | Wed, 28 Sep 2011 13:14:57 +0200 |
Hi Morten, I may have misunderstood, but as you do not provide your syntax and/or exact regression method, it is hard to know. My guess is that the first result is a ratio from comparing groups, while the other result could be an estimate at the mean values in the two groups. As Nick suggested the rate of being granted a disability pension, may be easier to model. Just my thoughts, Jesper -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Morten Støver Sent: 28 September 2011 09:41 To: statalist@hsphsun2.harvard.edu Subject: st: How to "reverse" log transformated result I'm doing an multilevel linear regression analysis where I try to investigate if there are variation in the lenght of the rehabilitation process before people are being granted a disability pension. I measure this in days, and since my data are very skewed, I've done a log transformation. Now I wonder how I can transform the results back to the original scale of measurement. As an example, this are the results for the different types of diagnosis. "Other" diagnosis: (ref) Mental disorders: 0.1993938 Musulosceletal: 0.0840664 If I now try to transform the data back using di exp(.1993938) I get the result 1.2206626. If I try to analyse the data without log transforming them, I find that the mental disorders group have 166 days (95% CI: 75.5-265.6) longer rehabilitation time before being granted a disability pension than the "other" diagnosis group. I guess that the di exp is not the right way to transform the results back, but I don't know any other way to do it. I'm using Stata 11. Thank you for your help * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/