What inspired this wish list request?
I am trying to fit a pharmaceutical stability analysis with Fit Mixed (as discussed, e.g., in Statistics for Biotechnology Process Development). However, I cannot replicate the corresponding SAS analysis because the approved methodology uses the SAS default for DDFM (CONTAIN). The current JMP hardcoded variation of Kenward Roger (which appears to be accurate and similar to analogous PROC MIXED output) gives me volatile DF estimates that render the current implementation in JMP unusable. I understand the benefits of KR, but this is a set procedure (sort of like the corresponding fixed effect stability analysis in the Degradation platform) that I need to match.
What is the improvement you would like to see?
Add at least one of the other DDFM options similar to PROC MIXED for Fit Mixed and/or Fit Least Squares.
Why is this idea important?
This is a common application for pharmaceutical customers and they may need to use SAS instead.