Statistical Design Models (SDM)
Statistical Design Models (SDM) enhancements improve accuracy and ease of use by applying updated validation rules, simplifying file uploads, increasing design flexibility, and providing clearer guidance—ensuring more reliable trial setup and consistent randomization results across the system.
✅ Updated BA Database Rules Now Reflected in System
Users benefit from more accurate data validation, removal of unnecessary warnings, and corrected rules for range and sBlk values.
✅ Automatic Entry Type & Role Handling in File Uploads
Entry type and role are now filled in automatically during uploads. Files with missing or blank columns still upload, with helpful warnings.
✅ Flexible Row Selection in P-rep Layouts
Users can now pick any valid number of field rows for P-rep designs, offering greater control and flexibility.
✅ Enhanced Alpha Lattice UI with Controlled sBlk Option
The sBlk option is now visible for clarity but safely disabled during randomization to ensure correct design generation.
✅ Updated BA Configuration & Documentation
Users now rely on clearer input rules, better validation logic, and more consistent behavior across design scripts.
✅ Better Validation for Unspecified Designs in Randomization
Validation checks are now complete and accurate for unspecified design trials under sparse testing.