D–F

Data selection scheme

Assign a Data selection scheme to this assay element. Data selection schemes define range selection settings (including configuration optimizer) and outlier detection methods of assay elements.


Data type	Multiplicity	Usage	Default value
xs:string	1...1	required	none

/Quantitative response assay/Setup/Assay elements/Standard sample/

/Quantitative response assay/Setup/Assay elements/Test sample/

/Quantitative response assay/Setup/Assay elements/Control sample/

/Quantitative response assay/Setup/Assay elements/Control line/

Data selection scheme

This section allows you to define a Data selection scheme. Data selection schemes contain settings on outlier detection, configuration optimization, and range selection. In every assay element, you must reference exactly one Data selection scheme.

Tip: You can reference any Data selection scheme from more than one assay element.

Expand the node to add or view information.


Data type	Multiplicity	Usage	Default value
Node	1...unbounded	required	none

/Quantitative response assay/Analysis/Data selection schemes/

Data selection schemes

This section allows you to define multiple data selection schemes for this assay. Data selection schemes contain settings on outlier detection, configuration optimization, and range selection. Every assay element must reference a data selection scheme defined in this section.

Tip: Add one or several Data selection schemes from the context menu or Creatable elements pane.

Expand the node to add or view information.


Data type	Multiplicity	Usage	Default value
Node	1...1	required	none

/Quantitative response assay/Analysis/

Data source

This section provides information on imported data. The provided import information was supplied by the import module.

Tip: Add an Import comment element to provide additional information.

Expand the node to add or view information.


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	required	none

/Quantitative response assay/Documentation/

Data table

This section allows you to adjust the dataset structure used to calculate the margins.

Note: Much of the dataset structure is set automatically and not visible in the Content editor.

Expand the node to add or view information.


Data type	Multiplicity	Usage	Default value
Node	1...1	required	none

/Equivalence margin development (Quantitative response assays)/

Date

Automatically inserts the current date and time when the Date element is created. You can enter a different date and time.


Data type	Multiplicity	Usage	Default value
xs:dateTime	1...1	required	none

/Basic bioassay protocol/Comment/

/Combination of independent assay results/Comment/

/Equivalence margin development (Quantitative response assays)/Comment/

/Quantitative response assay/Comment/

/Test system definition (Quantitative response assay)/Comment/

Date

Automatically inserts the current date and time when the document is created. You can enter a different date and time.

Tip: Use the date for sorting in aggregation documents.


Data type	Multiplicity	Usage	Default value
xs:dateTime	0...1	required	none

/Combination of independent assay results/


Data type	Multiplicity	Usage	Default value
xs:dateTime	1...1	required	none

/Quantitative response assay/

/Test system definition (Quantitative response assay)/

Deactivate reduced accuracy fit

This control allows you to specify whether PLA can use weak convergence criteria for nonlinear regression models.

During calculation, PLA first uses strong convergence criteria when trying to fit a nonlinear regression model. By default, if PLA cannot find an acceptable fit for the model, it relaxes the convergence criteria and tries to refit the model.

If you select the 'yes' option from the drop-down list and PLA does not find a model with a satisfying strong convergence criterion, PLA does not attempt a refit and does not fit a model.

Note: This setting applies to both restricted and unrestricted regression models.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	optional	none

/Quantitative response assay/Analysis/Analytical model/Advanced settings/

Deactivated

Select the Activated option from the drop-down list to enable Replicate averaging.


Data type	Multiplicity	Usage	Default value
Empty	1...1	required	none

/Quantitative response assay/Analysis/Response data processing/choice/Replicate averaging/choice/

Defined sequence

Allows you to define a sequence by specifying each Dose value individually. Select a different sequence type from the drop-down list if you require.


Data type	Multiplicity	Usage	Default value
Node	1...1	required	none

/Quantitative response assay/Setup/Preparation schemes/Preparation scheme/choice/

Degrees of freedom

Enter an integer to be used as degrees of freedom of the t-distribution in visualization.

Note: This value only applies if no assays are referenced. Otherwise, the degrees of freedom of the referenced assays are used.


Data type	Multiplicity	Usage	Default value
xs:integer	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Visualization/

Delta

Enter a number to specify the difference between the dose values of this sequence.

Note: The number you enter must be a non-negative decimal.

The dose value for the j-th step of a linear sequence is given by:

{Dose}_{j} = First Dose + Delta \cdot (j - 1)


Data type	Multiplicity	Usage	Default value
xs:double	1...1	required	none

/Quantitative response assay/Setup/Preparation schemes/Preparation scheme/choice/Linear sequence/

Difference of asymptotes (A - D) (nonlinear models)

Use this test for the following models:

4-parameter logistic fit
4-parameter logistic fit with included blanks
5-parameter logistic fit


Data type	Multiplicity	Usage	Default value
Empty	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Margin development/Equivalence tests: Parameter estimate/

Difference of asymptotes (A - D) (nonlinear models, Standard only)

Use this test for the following models:

4-parameter logistic fit
4-parameter logistic fit with included blanks
5-parameter logistic fit


Data type	Multiplicity	Usage	Default value
Empty	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Margin development/Equivalence tests: Scaled parameter range/

Difference of responses

Select the response value columns to be subtracted from each other. The value of the Second response column is subtracted from the value of the First response column. Response values are subtracted row by row, as entered in the observation data table.

Note: The difference of responses is calculated prior to all other response data processing steps.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Quantitative response assay/Analysis/Response data processing/

Dilution factor

Enter a number to set the Dilution factor for an individual step in the dilution sequence. The concentration of this step is equal to the concentration of the previous step divided by the dilution factor.

Tip: Add additional Dilution factor elements as you require.


Data type	Multiplicity	Usage	Default value
xs:double	1...unbounded	required	none

/Quantitative response assay/Setup/Preparation schemes/Preparation scheme/choice/Stepwise dilution sequence/

Direction

Select the sort order you want to apply to the data rows.


Data type	Multiplicity	Usage	Default value
xs:string	1...1	required	none

Display color

Select the color to be used to display data of this assay element in graphs and tables. When you create an assay element, a color is automatically assigned. Click the color field to display controls that allow you to change the color.


Data type	Multiplicity	Usage	Default value
xs:string	1...1	required	none

/Quantitative response assay/Setup/Assay elements/Standard sample/

/Quantitative response assay/Setup/Assay elements/Test sample/

/Quantitative response assay/Setup/Assay elements/Control sample/

/Quantitative response assay/Setup/Assay elements/Control line/

Display horizontal lines

Select the 'yes' option from the drop-down list to add horizontal grid lines to your plots.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	required	none

/Quantitative response assay/Settings/Graphics/

Display legend

Select the 'yes' option from the drop-down list to add a legend to your plots.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	required	none

/Quantitative response assay/Settings/Graphics/

Display vertical lines

Select the 'yes' option from the drop-down list to add vertical grid lines to your plots.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	required	none

/Quantitative response assay/Settings/Graphics/

Dixon test

Provides a statistical test for the detection of data outliers based on: Dixon, Wilfrid J. 1953. 'Processing data for outliers.' Biometrics 9 (1): 74-89. The Dixon test is also described in the United States Pharmacopeia: USP 28 NF 23 (2005), p. 2521.

The test is based on replicates. Therefore, no outliers are detected for dose steps with less than three observations. Sensitivity is defined by the respective alpha value.

Note: Our Dixon test implements corrections concerning the calculation of critical values based on Rorabacher.* Yet, for reasons of compatibility, we use the alpha level provided in the original Dixon paper where the test is defined as one-sided test. The significance level of the corresponding two-sided test is alpha/2.

* Rorabacher, David B. 1991. 'Statistical treatment for rejection of deviant values: Critical values of Dixon's "Q" parameter and related subrange ratios at the 95% confidence level.' Analytical Chemistry 63 (2): 139–146.


Data type	Multiplicity	Usage	Default value
Node	1...1	required	none

/Quantitative response assay/Analysis/Data selection schemes/Data selection scheme/choice/

Document mode

Select a Document mode from the drop-down list to require referenced documents match this mode.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	optional	none

/Basic bioassay protocol/Reportable values/Document reference/

/Combination of independent assay results/Setup/Potency data/Column: Document reference/

/Equivalence margin development (Quantitative response assays)/Data table/Column: Document reference/

/Quantitative response assay/Setup/Observation data/Column: Document reference/

Document name

Enter a name for the Combination of assay results document to be generated. The name you enter overrides the default naming for the Combination of assay results document.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	optional	none

/Basic bioassay protocol/choice/Mode: Assay element/Test sample/Combination calculation (sample only)/

/Basic bioassay protocol/Combination calculation/

Document property filter

Currently, no information available.


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Basic bioassay protocol/Templates/Combination calculation templates/Configuration/Template/Config/

Document property filter

Define a filter based on a document property to require referenced documents match this property.


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Basic bioassay protocol/Reportable values/Document reference/

/Combination of independent assay results/Setup/Potency data/Column: Document reference/

/Equivalence margin development (Quantitative response assays)/Data table/Column: Document reference/

/Quantitative response assay/Setup/Observation data/Column: Document reference/

Document property import

Define the document property you want to import.


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Basic bioassay protocol/Comment/Linked document/Config/

/Combination of independent assay results/Comment/Linked document/Config/

/Equivalence margin development (Quantitative response assays)/Comment/Linked Document/Config/

/Quantitative response assay/Comment/Linked document/Config/

/Test system definition (Quantitative response assay)/Comment/Linked document/Config/

Document reference

Configure the document reference column. Expand the node to add or view information.


Data type	Multiplicity	Usage	Default value
Node	1...1	optional	none

/Basic bioassay protocol/Reportable values/

/Combination of independent assay results/Setup/Potency data/

/Equivalence margin development (Quantitative response assays)/Data table/


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Quantitative response assay/Setup/Observation data/

Document suitability tests

Add the Document suitability tests you require.

The results of Document suitability tests affect the whole assay document.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Quantitative response assay/Analysis/Suitability tests/

/Test system definition (Quantitative response assay)/Suitability tests/

Document type

Select the document type of the documents to be referenced.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	optional	none

/Basic bioassay protocol/Comment/Linked document/Config/

/Combination of independent assay results/Setup/Potency data/Column: Document reference/

/Equivalence margin development (Quantitative response assays)/Data table/Column: Document reference/

/Quantitative response assay/Setup/Observation data/Column: Document reference/

Document type

Currently, no information available.


Data type	Multiplicity	Usage	Default value
xs:token	1...1	required	none

/Basic bioassay protocol/Templates/Combination calculation templates/Configuration/Template/Config/

Documentation

This section allows you to provide information on operators and analyte. Add the elements you need from the Creatable elements pane.


Data type	Multiplicity	Usage	Default value
Node	1...1	optional	none

/Basic bioassay protocol/

Documentation

This section allows you to provide information on operators, analyte, and equipment.

Expand the node to add or view information.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Combination of independent assay results/

Documentation

This section allows you to provide information on operators, analyte, reagents, and equipment.

Expand the node to add or view information.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Quantitative response assay/

Dose value

Enter a number to set a Dose value for the Defined sequence.

The Dose values you enter are internally associated with consecutively numbered dose steps starting with '1'.

Tip: Add additional Dose value elements as you require.


Data type	Multiplicity	Usage	Default value
xs:double	1...unbounded	required	none

/Quantitative response assay/Setup/Preparation schemes/Preparation scheme/choice/Defined sequence/

Edit mode

Select the Edit mode.

The following options are available:

Select: Allows you to select an existing document.
Create: Allows you both to select an existing document and to create a new document.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	required	none

/Basic bioassay protocol/Reportable values/Document reference/

/Combination of independent assay results/Setup/Potency data/Column: Document reference/

/Equivalence margin development (Quantitative response assays)/Data table/Column: Document reference/

/Quantitative response assay/Setup/Observation data/Column: Document reference/

Equipment

This section allows you to document the equipment used to perform this assay. Expand the node to add or view information.


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Combination of independent assay results/Documentation/

/Quantitative response assay/Documentation/

Equipment name

Enter the name of the equipment.

Tip: You can enter a reference to an equipment document instead. Select the Equipment reference option from the drop-down list.


Data type	Multiplicity	Usage	Default value
xs:token	1...1	required	none

/Combination of independent assay results/Documentation/Equipment/choice/

/Quantitative response assay/Documentation/Equipment/choice/

Equipment reference

Select an equipment document.

Tip: You can enter an equipment name instead. Select the Equipment name option from the drop-down list.


Data type	Multiplicity	Usage	Default value
Node	1...1	required	none

/Combination of independent assay results/Documentation/Equipment/choice/

/Quantitative response assay/Documentation/Equipment/choice/

Equivalence margin development (Quantitative response assays)

Equivalence margin development utilizes data of existing assays to develop and verify test systems that can be exported and applied in new assay development. Visualization is also available for existing test systems.

Navigate through the properties to select or enter settings you require:

1. Expand the node to add or view information. The second level of the document structure displays the Name and Date of the document. It also provides access to the Settings, Data table, Margin development, Test strategies (verification), and Visualization section.

2. Double-click the Identification element in the Creatable elements pane to add it to the document.

Tip: To delete an element from the document, right-click the element in the document structure and select the Delete element option from the pop-up menu.

3. Double-click the Comment element in the Creatable elements pane to add a Comment section to the document.


Data type	Multiplicity	Usage	Default value
Node	1...1	required	none

Top level

Equivalence test: Difference of parameter estimates

Add one or several equivalence tests for the difference of the Test or Control sample parameter minus the Standard sample parameter 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.

Important: Test definitions are ignored without notification if the Parameter you select results in invalid test definitions (for example, if a test cannot be performed for the model you use).

The following table lists all available tests and indicates which models and assay elements they support:


Equivalence test on the difference of the:	Linear parallel-line model	4-parameter logistic model	5-parameter logistic model	3-parameter logistic model with fixed lower or upper asymptote	Slope ratio model	Assay elements
Upper asymptotes (A) (nonlinear models)	no	yes	yes	with fixed Lower asymptote	no	Test, Control
B parameters (nonlinear models)	no	yes	yes	yes	no	Test, Control
Lower asymptotes (D) (nonlinear models)	no	yes	yes	with fixed Upper asymptote	no	Test, Control
Asymmetry parameters (G) (nonlinear models)	no	no	yes	no	no	Test, Control
Intercepts (linear models)	no	no	no	no	yes	Test, Control
Slopes (linear models)	yes	no	no	no	yes	Test, Control
Differences of asymptotes (A - D) (nonlinear models)*	no	yes	yes	no	no	Test, Control

* The 'difference of asymptotes' is the difference of the Upper minus the Lower asymptote of an assay element. This value is always based on the unrestricted regression model. The present test examines the difference between such values, that is, between (1) the value for the Standard sample and (2) the value for the Test or Control sample.


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/

Equivalence test: Parameter estimate

Add one or several equivalence tests for single parameters 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.

Important: Test definitions are ignored without notification if the Parameter you select results in invalid test definitions (for example, if a test cannot be performed for the model you use).

The following table lists all available tests and indicates which models and assay elements they support:


Equivalence test on the:	Linear parallel-line model	4-parameter logistic model	5-parameter logistic model	3-parameter logistic model with fixed lower or upper asymptote	Slope ratio model	Assay elements
Upper asymptote (A) (nonlinear models)	no	yes	yes	with fixed Lower asymptote	no	Standard, Test, Control
B parameter (nonlinear models)	no	yes	yes	yes	no	Standard, Test, Control
C parameter (nonlinear models)	no	yes	yes	yes	no	Standard, Test, Control
Lower asymptote (D) (nonlinear models)	no	yes	yes	with fixed Upper asymptote	no	Standard, Test, Control
Asymmetry parameter (G) (nonlinear models)	no	no	yes	no	no	Standard, Test, Control
Intercept (linear models)	yes	no	no	no	yes	Standard, Test, Control
Slope (linear models)	yes	no	no	no	yes	Standard, Test, Control
Difference of asymptotes (A - D) (nonlinear models)	no	yes	yes	no	no	Standard, Test, Control
Ratio of asymptotes (A / D) (nonlinear models)	no	yes	yes	no	no	Standard, Test, Control


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/

Equivalence test: Ratio of parameter estimates

Add one or several equivalence tests for the ratio of the Test or Control sample parameter over the Standard sample parameter 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.

Important: Test definitions are ignored without notification if the Parameter you select results in invalid test definitions (for example, if a test cannot be performed for the model you use).

The following table lists all available tests and indicates which models and assay elements they support:


Equivalence test on the ratio of the:	Linear parallel-line model	4-parameter logistic model	5-parameter logistic model	3-parameter logistic model with fixed lower or upper asymptote	Slope ratio model	Assay elements
Upper asymptotes (A) (nonlinear models)	no	yes	yes	with fixed Lower asymptote	no	Test, Control
B parameters (nonlinear models)	no	yes	yes	yes	no	Test, Control
Lower asymptotes (D) (nonlinear models)	no	yes	yes	with fixed Upper asymptote	no	Test, Control
Asymmetry parameters (G) (nonlinear models)	no	no	yes	no	no	Test, Control
Intercepts (linear models)	no	no	no	no	yes	Test, Control
Slopes (linear models)	yes	no	no	no	yes	Test, Control
Differences of asymptotes (A - D) (nonlinear models)*	no	yes	yes	no	no	Test, Control

* The 'difference of asymptotes' is the difference of the Upper minus the Lower asymptote of an assay element. This value is always based on the unrestricted regression model. The present test examines the ratio of such values, that is, of (1) the value for the Test or Control sample to (2) the value for the Standard sample.


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/

Equivalence test: Scaled parameter range

Add one or several equivalence tests for the scaled range of the Test or Control sample parameter to the Standard sample parameter (divided by the scaling parameter) 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.

Important: Test definitions are ignored without notification if the Parameter you select results in invalid test definitions (for example, if a test cannot be performed for the model you use).

The following table lists all available tests and indicates which models and assay elements they support:


Equivalence test on the scaled range of the:	Linear parallel-line model	4-parameter logistic model	5-parameter logistic model	3-parameter logistic model with fixed lower or upper asymptote	Slope ratio model	Assay elements
Upper asymptote (A) (nonlinear models)	no	yes	yes	with fixed Lower asymptote	no	Test, Control
B parameter (nonlinear models)	no	yes	yes	yes	no	Test, Control
Lower asymptote (D) (nonlinear models)	no	yes	yes	with fixed Upper asymptote	no	Test, Control
Asymmetry parameter (G) (nonlinear models)	no	no	yes	no	no	Test, Control
Intercept (linear models)	no	no	no	no	yes	Test, Control
Slope (linear models)	yes	no	no	no	yes	Test, Control
Difference of asymptotes (A - D) (nonlinear models, Standard only)	no	yes	yes	no	no	Standard, Test, Control


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/

Equivalence tests: Difference of parameter estimates

Select the tests for which you want to develop margins. In this section, you can select equivalence tests for the difference of the Test or Control sample parameter minus the Standard sample parameter.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Margin development/

Equivalence tests: Difference of parameter estimates

Select the tests you want to use to define your test strategy. In this section, you can select equivalence tests for the difference of the Test or Control sample parameter minus the Standard sample parameter.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Test strategies/Strategy/

Equivalence tests: Parameter estimate

Select the tests for which you want to develop margins. In this section, you can select equivalence tests for single parameters.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Margin development/

Equivalence tests: Parameter estimate

Select the tests you want to use to define your test strategy. In this section, you can select equivalence tests for single parameters.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Test strategies/Strategy/

Equivalence tests: Ratio of parameter estimates

Select the tests for which you want to develop margins. In this section, you can select equivalence tests for the ratio of the Test or Control sample parameter over the Standard sample parameter.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Margin development/

Equivalence tests: Ratio of parameter estimates

Select the tests you want to use to define your test strategy. In this section, you can select equivalence tests for the ratio of the Test or Control sample parameter over the Standard sample parameter.


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Test strategies/Strategy/

Equivalence tests: Scaled parameter range

Select the tests for which you want to develop margins. In this section, you can select equivalence tests for the scaled range of the Test or Control sample parameter to the Standard sample parameter (divided by the scaling parameter).


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Margin development/

Equivalence tests: Scaled parameter range

Select the tests you want to use to define your test strategy. In this section, you can select equivalence tests for the scaled range of the Test or Control sample parameter to the Standard sample parameter (divided by the scaling parameter).


Data type	Multiplicity	Usage	Default value
Node	0...1	optional	none

/Equivalence margin development (Quantitative response assays)/Test strategies/Strategy/

Estimation by

Select how you want to estimate the 50-percent response. The following options are available: 'Arithmetic mean' and 'Mean of max/min treatment mean'.


Data type	Multiplicity	Usage	Default value
xs:token	1...1	required	none

/Quantitative response assay/Analysis/Data selection schemes/Data selection scheme/choice/Optimization on/choice/Include 50-percent response/

Evaluation condition

Select one of the following Evaluation conditions from the drop-down list:

Referenced test passed: This test is to be executed if your data passes the referenced test. Otherwise, the result of this test is set to 'NC' (not calculated).
Referenced test failed: This test is to be executed if your data fails the referenced test. Otherwise, the result of this test is set to 'NC' (not calculated).


Data type	Multiplicity	Usage	Default value
xs:token	1...1	optional	none

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/F-test (hypothesis test)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Equivalence test: Parameter estimate/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Equivalence test: Difference of parameter estimates/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Equivalence test: Ratio of parameter estimates/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Equivalence test: Scaled parameter range/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Point estimate test: Parameter estimate/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Point estimate test: Difference of parameter estimates/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Point estimate test: Ratio of parameter estimates/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Normalized difference of asymptotes/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Sum of squares regression/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Sum of squares non-parallelism/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Sum of squares non-linearity/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Ratio sum of squares non-linearity / sum of squares regression/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Potency value/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Potency confidence interval/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Log potency range (L-value)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Potency of intermediate dilution/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Potency confidence interval (%)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Potency range (%)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Weight (W)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Maximal number of outliers/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Maximal sequence step CV (%)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Minimal R²/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Relative LOF error (%)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Response value range/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Root mean square error (RMSE)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/F-test (hypothesis test)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Equivalence test: Parameter estimate/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Equivalence test: Difference of parameter estimates/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Equivalence test: Ratio of parameter estimates/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Equivalence test: Scaled parameter range/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Point estimate test: Parameter estimate/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Point estimate test: Difference of parameter estimates/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Point estimate test: Ratio of parameter estimates/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Normalized difference of asymptotes/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Sum of squares regression/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Sum of squares non-parallelism/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Sum of squares non-linearity/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Ratio sum of squares non-linearity / sum of squares regression/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Potency value/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Potency confidence interval/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Log potency range (L-value)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Potency of intermediate dilution/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Potency confidence interval (%)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Potency range (%)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Weight (W)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Maximal number of outliers/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Maximal sequence step CV (%)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Minimal R²/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Relative LOF error (%)/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Response value range/Conditional evaluation/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Root mean square error (RMSE)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/F-test (hypothesis test)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Equivalence test: Parameter estimate/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Equivalence test: Difference of parameter estimates/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Equivalence test: Ratio of parameter estimates/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Equivalence test: Scaled parameter range/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Point estimate test: Parameter estimate/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Point estimate test: Difference of parameter estimates/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Point estimate test: Ratio of parameter estimates/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Normalized difference of asymptotes/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Sum of squares regression/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Sum of squares non-parallelism/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Sum of squares non-linearity/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Ratio sum of squares non-linearity / sum of squares regression/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Potency value/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Potency confidence interval/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Log potency range (L-value)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Potency of intermediate dilution/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Potency confidence interval (%)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Potency range (%)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Weight (W)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Maximal number of outliers/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Maximal sequence step CV (%)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Minimal R²/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Relative LOF error (%)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Response value range/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Root mean square error (RMSE)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/F-test (hypothesis test)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Equivalence test: Parameter estimate/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Equivalence test: Difference of parameter estimates/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Equivalence test: Ratio of parameter estimates/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Equivalence test: Scaled parameter range/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Point estimate test: Parameter estimate/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Point estimate test: Difference of parameter estimates/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Point estimate test: Ratio of parameter estimates/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Normalized difference of asymptotes/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Sum of squares regression/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Sum of squares non-parallelism/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Sum of squares non-linearity/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Ratio sum of squares non-linearity / sum of squares regression/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Potency value/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Potency confidence interval/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Log potency range (L-value)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Potency of intermediate dilution/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Potency confidence interval (%)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Potency range (%)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Weight (W)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Maximal number of outliers/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Maximal sequence step CV (%)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Minimal R²/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Relative LOF error (%)/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Response value range/Conditional evaluation/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Root mean square error (RMSE)/Conditional evaluation/

Exact number of steps

Enter a number to evaluate configurations that have exactly this number of steps.

Tip: Select the Minimal number of steps option from the drop-down list if you require.


Data type	Multiplicity	Usage	Default value
xs:positiveInteger	1...1	required	none

/Quantitative response assay/Analysis/Data selection schemes/Data selection scheme/choice/Optimization on/choice/

Exclude from analysis / invalid assay element

Select the 'yes' option from the drop-down list to exclude this assay element from analysis. Or select 'no' to include it.

Note: If you exclude an assay element from analysis, the related assay, data, and settings (such as test definitions for the assay element) are completely ignored. But the report states that the assay element is excluded from analysis.


Data type	Multiplicity	Usage	Default value
xs:token	1...1	required	none

/Quantitative response assay/Setup/Assay elements/Test sample/

Expected relative potency

Enter the expected relative potency for this sample.


Data type	Multiplicity	Usage	Default value
xs:double	0...1	optional	none

/Quantitative response assay/Setup/Assay elements/Test sample/

Extent of the test

Select the Extent of the test.

The following options are available from the drop-down list:

Assay element: Runs the test on the data of individual assay elements.
Assay: Runs the test on the data of the whole assay.

Please consult the help pages of particular tests for additional information.


Data type	Multiplicity	Usage	Default value
xs:token	1...1	required	none

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Sum of squares non-linearity/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Sum of squares non-linearity/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Sum of squares non-linearity/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Sum of squares non-linearity/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Minimal R²/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Minimal R²/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Minimal R²/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Minimal R²/

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Root mean square error (RMSE)/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Root mean square error (RMSE)/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Root mean square error (RMSE)/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Root mean square error (RMSE)/

Extent of the test

Select the Extent of the test.

The following options are available from the drop-down list:

Assay element: Runs the test on the data of individual assay elements.
Assay: Runs the test on the data of the whole assay.
Sequence step: Runs the test on the data of individual sequence steps in the assay.

Please consult the help pages of particular tests for additional information.


Data type	Multiplicity	Usage	Default value
xs:token	1...1	required	none

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/Test: Maximal number of outliers/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/Test: Maximal number of outliers/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/Test: Maximal number of outliers/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/Test: Maximal number of outliers/

(Externally) studentized residuals test

Provides a model-based approach to outlier detection.

With this test, outlier detection is always performed prior to response data processing.

With the Dixon, Grubbs, and Standard deviation tests, you can select to have outlier detection either before or after response data processing. For additional information, see, for example: Pope, Allen J. 1976. The statistics of residuals and the detection of outliers. Rockville (MD): Geodetic Research and Development Laboratory, National Oceanic and Atmospheric Administration, United States Department of Commerce.


Data type	Multiplicity	Usage	Default value
Node	1...1	required	none

/Quantitative response assay/Analysis/Data selection schemes/Data selection scheme/choice/

F-test (hypothesis test)

Add one or several F-tests to your assay.

Important: Test definitions are ignored without notification if the Type of test you select results in invalid test definitions (for example, if a test cannot be performed for the model you use).

The following table lists all F-tests we recommend for new assay development and indicates which models they support:


F-tests on the significance of:	Support the following models:	Scope of the test¹
regression non-linearity (lack of fit)	Linear parallel-line Slope ratio 4-parameter logistic 5-parameter logistic 3-parameter logistic with fixed lower or upper asymptote	Group 1
non-parallelism	Linear parallel-line 4-parameter logistic 5-parameter logistic 3-parameter logistic with fixed lower or upper asymptote	Group 1
non-similarity	Slope ratio	Group 1
the slope² the square coefficient³	Linear parallel-line Slope ratio	Group 2

¹ The tests of Group 1 and 2 differ in how the Scope of the test affects inclusion of various assay elements. The groups are explained in the Scope of the test section.

² Corresponds to 'test of slope' in PLA 2.0.

³ Corresponds to 'test of linearity' in PLA 2.0.

Important: Test definitions are ignored without notification if the scope you select results in invalid test definitions (for example, if a test cannot be performed for the assay element type you select).

The following table indicates how the scope of the test affects inclusion of various assay elements in tests without simultaneous regression:


Scope of the test	Calculations by tests of Group 1	Calculations by tests of Group 2
All assay elements	The test is computed for each Test-vs-Standard and for each Control-vs-Standard comparison.	The test is computed by fitting the data of each sample separately.
Standard only	No test is computed.	The test is computed by only fitting the data of the Standard sample.
Test samples only	The test is computed for each Test-vs-Standard comparison.	The test is computed by only fitting the data of each Test sample.
Control samples only	The test is computed for each Control-vs-Standard comparison.	The test is computed by only fitting the data of each Control sample.

Note: With simultaneous regression (formerly called multiplex assay), all samples are regarded as one single dataset and are tested together (not as individual samples or pairwise comparisons).

The following table indicates how F-values are calculated:


Test type	Description	Calculation of F-value
F-test on the significance of regression	Tests for the significance of the regression term. The test is passed if F ≥ F_critical.	If Pure-error ANOVA is selected: F = MS_Regression / MS_PureError. If Residual-error ANOVA is selected: F = MS_Regression / MS_{ResidualError}. Where: MS is the mean squared error.
F-test on the significance of non-parallelism	Tests for the significance of the non-parallelism term. The test is passed if F ≤ F_critical.	If Pure-error ANOVA is selected: F = MS_{Non-Parallelism} / MS_PureError. If Residual-error ANOVA is selected: F = MS_{Non-Parallelism} / MS_{ResidualError}. Where: MS is the mean squared error.
F-test on the significance of non-linearity (lack of fit)	Tests for the significance of the non-linearity term. The test is passed if F ≤ F_critical.	For both ANOVA methods: F = MS_{Non-Linearity} / MS_PureError. Where: MS is the mean squared error.
F-test on the significance of non-similarity	Tests for the significance of the non-similarity term of the Slope ratio model. The test is passed if F ≤ F_critical.	If Pure-error ANOVA is selected: F = MS_{Non-Similarity} / MS_PureError. If Residual-error ANOVA is selected: F = MS_{Non-Similarity} / MS_{ResidualError}. Where: MS is the mean squared error.
F-test on the significance of the slope	This test corresponds to the 'test of slope' in PLA 2.0. The test is passed if F ≥ F_critical.	F = MS_Model / MS_{ResidualError}. Where: MS is the mean squared error.
F-test on the significance of the square coefficient	This test corresponds to the 'test of linearity' in PLA 2.0. The test is passed if F ≤ F_critical.	F is calculated as: $F = \frac{\sum {(f_{q u a d r} (x_{i j k}) - \overline{y})}^{2} - {(f_{l i n} (x_{i j k}) - \overline{y})}^{2})}{\sum {(f_{q u a d r} (x_{i j k}) - y_{i j k})}^{2}}$ Where f_lin is the fit for one assay element of a linear model, and f_quadr is the fit for one assay element of a quadratic model.

The following table lists all custom F-tests.

Note: We do not recommend these tests for new assay development. They are not standard tests and were introduced to replace outdated custom software.


F-tests on the significance of:	Support the following models:	Scope of the test¹
the square coefficient (assay scope) the difference of the quadratic full vs. restricted (assay scope)	Linear parallel-line Slope ratio	Group 1
preparation	Supports all models except: Slope ratio 4-parameter logistic with Control line included	Group 1

¹ The tests of Group 1 and 2 differ in how the Scope of the test affects inclusion of various assay elements. The groups are explained in the Scope of the test section.

The following table indicates how F-values are calculated for custom F-tests:


Test type	Description	Calculation of F-value
F-test on the significance of the square coefficient (assay scope)	The test is passed if F ≥ F_critical.	The test statistic is calculated by dividing $\sum {(f (x_{i j k}) - \overline{y})}^{2}$ by MS_PureError if Pure-error ANOVA is selected. If Residual-error ANOVA is selected, the term is divided by MS_{ResidualError} instead. Here MS is the mean squared error, and f is the fit corresponding to the model: a₀ + b ⋅ log (x) + c ⋅ ( log (x) )² with parameters a₀ depending only on the defined assay element and b and c depending on the Standard sample and the defined assay element.
F-test on the significance of the difference of the quadratic full vs. restricted (assay scope)	The test is passed if F ≤ F_critical.	The test statistic F is calculated by performing a model comparison between an unrestricted quardatic model with six parameters and a quadratic model with five parameters where the coefficent of the quadratic term is identical for test and standard sample. The denominator is MS_PureError if Pure-error ANOVA is selected. If Residual-error ANOVA is selected, MS_{ResidualError} is used as the denominator instead.
F-test on the significance of preparation	The test is passed if F ≤ F_critical.	If Pure-error ANOVA is selected: F = MS_Preparation / MS_PureError. If Residual-error ANOVA is selected: F = MS_Preparation / MS_{ResidualError}. Where: MS is the mean squared error.


Data type	Multiplicity	Usage	Default value
Node	0...unbounded	optional	none

/Quantitative response assay/Analysis/Suitability tests/Assay suitability tests/choice/

/Quantitative response assay/Analysis/Suitability tests/Sample suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Assay suitability tests/choice/

/Test system definition (Quantitative response assay)/Suitability tests/Sample suitability tests/choice/

Field

Enter the name of the property you want to import.


Data type	Multiplicity	Usage	Default value
xs:Name	1...1	required	none

/Basic bioassay protocol/Comment/Linked document/Config/Section property import/

/Combination of independent assay results/Comment/Linked document/Config/Section property import/

/Equivalence margin development (Quantitative response assays)/Comment/Linked Document/Config/Section property import/

/Quantitative response assay/Comment/Linked document/Config/Section property import/

/Test system definition (Quantitative response assay)/Comment/Linked document/Config/Section property import/

File name

Automatically inserts the file name of the data source when you import data.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	required	none

/Quantitative response assay/Documentation/Data source/

First dose

Enter a number to specify the First dose of this sequence.

Note: The number you enter must be a non-negative decimal.

The dose value for the j-th step of a linear sequence is given by:

{Dose}_{j} = First Dose + Delta \cdot (j - 1)


Data type	Multiplicity	Usage	Default value
xs:double	1...1	required	none

/Quantitative response assay/Setup/Preparation schemes/Preparation scheme/choice/Linear sequence/

First response column

Select the Column: Response value in the observation data table from which you want to subtract the values of the Second response column.


Data type	Multiplicity	Usage	Default value
xs:token	1...1	required	none

/Quantitative response assay/Analysis/Response data processing/Difference of responses/

Folder key

Select a folder to require referenced documents be elements of this folder.

Tip: Add an Allow subfolder element and select the 'true' option from its drop-down list to require referenced documents be elements of the specified folder or one of its subfolders.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	optional	none

/Combination of independent assay results/Setup/Potency data/Column: Document reference/

/Equivalence margin development (Quantitative response assays)/Data table/Column: Document reference/

/Quantitative response assay/Setup/Observation data/Column: Document reference/

Folder key

Select a folder to require referenced documents be elements of this folder.

Tip: Add an Allow subfolders element and select the 'true' option from its drop-down list to require referenced documents be elements of the specified folder or one of its subfolders.


Data type	Multiplicity	Usage	Default value
xs:token	0...1	optional	none

/Basic bioassay protocol/Reportable values/Document reference/

/Combination of independent assay results/Comment/Linked document/Config/

/Equivalence margin development (Quantitative response assays)/Comment/Linked Document/Config/

/Quantitative response assay/Comment/Linked document/Config/

/Test system definition (Quantitative response assay)/Comment/Linked document/Config/

D–F

Data selection scheme

This element has the following attributes:

Data selection scheme

This element has the following attributes:

Data selection schemes

This element has the following attributes:

Data source

This element has the following attributes:

Data table

This element has the following attributes:

Date

This element has the following attributes:

Date

This element has the following attributes:

Deactivate reduced accuracy fit

This element has the following attributes:

Deactivated

This element has the following attributes:

Defined sequence

This element has the following attributes:

Degrees of freedom

This element has the following attributes:

Delta

This element has the following attributes:

Difference of asymptotes (A - D) (nonlinear models)

This element has the following attributes:

Difference of asymptotes (A - D) (nonlinear models, Standard only)

This element has the following attributes:

Difference of responses

This element has the following attributes:

Dilution factor

This element has the following attributes:

Direction

This element has the following attributes:

Display color

This element has the following attributes:

Display horizontal lines

This element has the following attributes:

Display legend

This element has the following attributes:

Display vertical lines

This element has the following attributes:

Dixon test

This element has the following attributes:

Document mode

This element has the following attributes:

Document name

This element has the following attributes:

Document property filter

This element has the following attributes:

Document property filter

This element has the following attributes:

Document property import

This element has the following attributes:

Document reference

This element has the following attributes:

Document suitability tests

This element has the following attributes:

Document type

This element has the following attributes:

Document type

This element has the following attributes:

Documentation

This element has the following attributes:

Documentation

This element has the following attributes:

Documentation

This element has the following attributes:

Dose value

This element has the following attributes:

Edit mode

This element has the following attributes:

Equipment

This element has the following attributes:

Equipment name

This element has the following attributes:

Equipment reference

This element has the following attributes:

Equivalence margin development (Quantitative response assays)