Test: Sum of squares non-linearity
Add one or several tests for the sum of squares non-linearity (also known as sum of squares lack of fit) to your assay. To add the tests as assay suitability tests, add them as children of the Assay suitability tests element. To add the tests as sample suitability tests, add them as children of the Sample suitability tests element.
To pass the test, the sum of squares non-linearity (from the ANOVA table) has to be less than or equal to the upper margin and greater than or equal to the lower margin set in the test definition.
Supported models
Linear parallel-line, 4-parameter logistic, 5-parameter logistic, 3-parameter logistic with fixed lower asymptote, 3-parameter logistic with fixed upper asymptote, Slope ratio
Scope of the test
- The Standard sample is always included in the calculation.
- 'Standard only' without simultaneous regression (each Test or Control sample is compared separately to the Standard): No test is computed.
- 'Test samples only' or 'Control samples only' without simultaneous regression: The test is computed for each Test-vs-Standard or Control-vs-Standard comparison.
- 'All assay elements' without simultaneous regression: The test is computed for each Test-vs-Standard and for each Control-vs-Standard comparison.
Extent of the test
- Assay element: Runs the test on the data of individual assay elements.
- Assay: Runs the test on the data of the whole assay.
This element has the following attributes:
| Data type | Multiplicity | Usage | Default value |
| Node | 0...unbounded | optional | none |
Context:
/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/alternatives/
/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/alternatives/
/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/alternatives/
/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/alternatives/
