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Re: st: back transform coefficients
From
Nikolaos Pandis <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: back transform coefficients
Date
Fri, 18 Nov 2011 03:48:59 -0800 (PST)
Dear Maarten,
Great, many thanks for the help.
I assume from your posting that after I run the command I need to follow an extra step in order to get the coeffs in the origninal scale.
Would you be able to be more specific on how to accomplish this.
Many thanks,
Nick
________________________________
From: Maarten Buis <[email protected]>
To: [email protected]
Sent: Friday, November 18, 2011 11:52 AM
Subject: Re: st: back transform coefficients
On Fri, Nov 18, 2011 at 10:05 AM, Nikolaos Pandis wrote:
> I am running linear regression with 3 continous and 1 2-level categorical independent variables.
> The continuous outcome is normally distributed when transformed into sqrt(dep_var).
> I was wondering how I would be able to back transform the produced coefficients and CIs for interpretation.
I would not use -regress- to estimate such model, but -glm- with the
-link(power .5)- option. That way you are modeling the square root
transformed mean of your dependent variable rather than the mean of
your square root transformed dependent variable. This makes the
backtransform much easier, just use -predict-, -margins-, etc.
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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