Known Issues
At MMS Holdings, transparency is our priority, and we want to keep you informed about any known issues. KerusCloud is actively developed to bring you the latest statistical features in clinicial trial design, user experience, accessibility and cyber-security. There may be occasional delays from identifying an issue to bringing the solution to you. Our dedicated development team are diligently working to resolve these issues and enhance the overall performance of KerusCloud.
We aim to provide a seamless experience and are committed to resolving any unexpected problems swiftly. If you encounter any issues, please don’t hesitate to reach out to us. Your feedback is invaluable in helping us maintain and improve the quality of this software. Please contact KerusCloud Support to report any issues or share any suggestions for future improvements.
| Issue | Impact | Workaround | Issue ID | Status |
|---|---|---|---|---|
| When defining Variables, an ’Invalid value’ error message is incorrectly displayed when defining scenario-based Variable Parameters with a value of 0. | Misleading error message displayed as values of 0 are valid for scenario-based Variable Parameters. | Variable will be saved successfully even if error message is displayed. | KERUS-5958 | Known, August 2026. |
| P(Time to Given Event Proportion) may return incorrect probabilities, including invalid boundary values and unchanged results across different cutoff times. | Users should exercise caution when interpreting results from P(Time to Given Event Proportion), particularly when cutoff times are far from the estimated event-proportion time or probabilities near logical boundaries (0 or 1) are expected. | Avoid relying solely on this metric for critical analyses until the issue has been resolved and validated. | KERUS-5933 | Resolved, September 2026 |
| When a Decision Criteria (DC) is created for a regression analysis that includes interaction terms between continuous variables, the DC result returns NA. | DC results cannot be evaluated for regression models that include interactions between continuous variables. | Remove the continuous–continuous interaction term prior to creating the DC or convert one of the continuous variables to a categorical variable. | KERUS-5216 | Resolved, May 2026 |