@RaquelVO wrote: Thank you so much!!! Multicollinearity was definitely part of the problem! Somehow the models are converging and saturating, but SAS still can't produce degrees of freedom or standard errors, whether I remove all dichotomous variables or not.... WARNING: The information matrix could not be inverted during standard error calculation. It was singular and/or not positive definite. This is sometimes due to either insufficient degrees of freedom or a boundary value estimate for a parameter. Valid standard errors could not be computed. Again, thanks for the advice, it definitely brought me a step closer. Then take out all variables and try the model with one variable to see if you get a solution. It seems you have some multicollinearity with the non-binary variables. They may need to be coarsened and/or some dropped to get model convergence.
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