Method Comparison by Regression
In cases where a lab must do an MV focused on correlation, such as a reagent change causes a shift in results or a validated version of the same instrumentation cannot be found, using an R-Squared regression standard might be the right way to go.
Cualia MV experiments for Quantitative Method Comparison experiments now allow R-Squared(r²) regression as the acceptance criteria. To do this use the experiment settings and select Regression mode as the acceptance criteria. From there you can set your minimum R-Squared value required to pass the experiment.
Force Pass Samples
Applies to MV Experiments: Method Comparison and Trueness
There are cases when force passing a sample is important for MV validity due to instrument limitations, non-clinical relevance or methodological investigations such as testing out of instrumentation range.
To force pass a an eligible sample (must have an actual and reference) value, double click the green or red pass fail icon. The sample will pass and the icon will turn a lighter shade of green to indicate it was force-passed without it being visually obtrusive.
All Updates
Type | What was updated | Decription |
|---|---|---|
New Features | In MV Previews, selecting the export to PDF button will download the PDF with a set naming convention to match what is being viewed on the PDF preview. | |
New Features | A return to MV button was added to the reports page to make it easier to return to the workspace. | |
New Features | Result Types: Qualitative and Quantitative MV Experiments: Method Comparison and Trueness A double click action on the green checkmark (eligible samples only) will set the result to pass regardless of the Error Index. This facilitates many tests where values in specific ranges do not follow the requirements around other ranges. The green ✅ checkmark will turn a lighter shade of green to indicate that it is force-passed without a strong negative aesthetic. | |
New Features | Result Types: Quantitative MV Experiments: Method Comparison In Quantitative Method Comparisons, an option to use R-Squared Linear Regression values as the acceptance criteria has been added. Use the Experiment Settings to switch to R-Squared regression as the acceptance criteria. You will be able to set a min. R-Squared value required to meet experiment requirements. | |
Changes | In the MV Method Comparison and Trueness experiment table headers, the “Source” column header was renamed to “Comment”. This was to help provide flexibility to put whatever supplementary information is required such as source, date, operator or general commentary. | |
Changes | Whenever you start a new MV without a template, the defaults will be set to the reports: Header Title: Analyzer Information Header Subtitle: Department Name Footer Line 1: Evaluator Footer Line 2: Date the MV Started | |
Changes | In the analyzer’s list of quant, qual and semi-quantitative tests, the alignment of the name was fixed to be more readable. | |
Changes | The test’s units were added to each header of the PDF exports as a reference for viewers. | |
Changes | When creating or editing a test, the analyte selection dropdown is now in alphabetical order. | |
Changes | When in an MV, the Analyzer name in left side navigation now has a button to return to the analyzer. | |
Fixes | Fixed a bug where a deleted tests would still show up in the analyzer for a few minutes. | |
Fixes | Share and invitation emails will no longer be case sensitive. This was causing invitations to not be sent. | |
Fixes | Fixed an issue where the linearity chart was missing in PDF exports. | |
Fixes | Add and Edit Department action buttons have been changed to “Add Department” and “Save.” | |
Fixes | A fix was made where the MV sharing mechanism for email input would stay within the text box even after submission. |