Different results between Parameter estimates and Indicator function parameterization
Dear, I performed a regression model consisting of 9 terms (main effects and interactions). The 4 variables used in this model are categorical variables which all have 2 levels. Since, I am a SAS user I prefer the Indicator function parameterization over the parameterization of JMP. However, I noticed some discrepancy between the p-values of the parameter estimates table and the Indicator function...