I don't have JMP or Stata, though the symptoms you describe indicate
that Stata applies effect coding (-1,1) to class variables and JMP
applies GLM coding (0,1). Check the documentation to see which type of
coding is used in each.
University of Oregon
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