Date: Thu, 29 Nov 2007 17:54:30 -0800
Reply-To: Robin High <robinh@UOREGON.EDU>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Robin High <robinh@UOREGON.EDU>
Subject: Re: logistic regression output,
est. & SE: JMP (made by SAS) vs. Stata
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.. I wrote too quickly: glm or ref coding (e.g., Stata) estimated
coefficients and std errors will be twice as large as the same values
with effect coding (e.g., JMP).
From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of
Sent: Thursday, November 29, 2007 5:22 PM
Subject: logistic regression output, est. & SE: JMP (made by SAS) vs.
This question does not involve SAS, but it involves JMP, which is made
by SAS and many SAS people are familiar with JMP (well, I hope so :)).
Does anyone know why I am obtaining parameter estimates and SE for a
logistic regression that are exactly twice as high in Stata than in JMP?
Values for the overall models (LR and p-values) are identical. I haven't
found any details to shed light on how these are calculated in the two