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 programs.

Susan