E–L

EC percentile

Enter the percentile for which you want to test.


Data type	Multiplicity	Usage	Default value
T_Double0to100Exclusive	1...1	required	none

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Test on effective concentration/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Test on effective concentration/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Effective concentration/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Effective concentration/

Effective concentration

Allows you to calculate and report Effective concentrations.

Expand the node to add or view information.

Tip: You can add several Effective concentration elements from the Creatable elements pane.


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

/Dose-response analysis/Analysis/Additional calculations/

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
xs:empty	0...unbounded	optional	none

/Dose-response analysis/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

/Dose-response analysis/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
T_EquipmentReference	1...1	required	none

/Dose-response analysis/Documentation/Equipment/choice/

Equivalence margin development for dose-response analysis 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, Datatable, Margin development, Test strategies (verification), and Visualization sections.

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

Note: 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
xs:empty	1...1	required	none

Top level

Equivalence test (parameter estimate)

Add one or several equivalence tests for single parameters to your assay.

Note: These tests are for assay elements that have a multi-dose preparation scheme.

Tip: Select the Assay suitability or Sample suitability section prior to adding tests from the Creatable elements pane.

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 they support:


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


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

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/

Equivalence test (parameter estimate)


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

/Equivalence margin development for dose-response analysis assays/Margin development/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/

Exclude assay

Marks dataset rows to be excluded from calculating margins.


Data type	Multiplicity	Usage	Default value
ds:T_TechnicalOutlierColumn	1...1	required	none

/Equivalence margin development for dose-response analysis assays/Datatable/

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
T_SSY_Boolean	1...1	required	none

/Dose-response analysis/Setup/Assay elements/Control/

/Dose-response analysis/Setup/Assay elements/Test/

(Externally) studentized residuals test

Provides a model-based approach to outlier detection.

Note: 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
xs:empty	1...1	required	none

/Dose-response analysis/Analysis/Data selection schemes/Data selection scheme/choice/

F-test (hypothesis test)

Add one or several F-tests to your assay.

Tip: Select the Assay suitability or Sample suitability section prior to adding tests from the Creatable elements pane.

Note: F-tests are calculated for every individual assay element (sample) that has a multi-dose preparation scheme. The F-ratios tested are provided in the ANOVA tables.

Select the F-test you want to use from the Type drop-down list.

The following options are available:

Lack of fit
Model

All

F-values are calculated as follows.

Lack of fit Tests for the significance of the non-linearity term. The F-value is calculated as follows: F = MS_LackOfFit / MS_PureError. Where: MS is the mean squared error. The test is passed if F ≤ F_critical.

Model Tests for the significance of the regression term. The F-value is calculated as follows: F = MS_Model / MS_{ResidualError}. Where: MS is the mean squared error. The test is passed if F ≥ F_critical.


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

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/

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	optional	none

/Dose-response analysis/Documentation/Data source/

Geometric sequence

Allows you to define an n-fold geometric sequence. That is, the dilution sequence has 'n' steps, and each of the 'n - 1' terms after the first is found by multiplying the previous by a fixed number.

Note: If you add an Initial working concentration element to define the concentration of the first step in this sequence, the value you enter overrides the value implied by the predilution factors of this preparation scheme and the concentration settings of referencing assay elements. Please consult the help page on the Initial working concentration element for additional information.

The dose value for step number 'j' of an n-fold sequence is given by:

First Dose \cdot {Base}^{(1 - j)}

Tip: Select a different sequence type from the drop-down list if you require.


		= First dose	= First dose / Base	= First dose / Base^2	= First dose / Base^n
1	2	1.0	0.5	0.25	0.125
8	2	8.0	4.0	2.0	1.0
1	0.5	1.0	2.0	4.0	8.0
5	3	5.0	1.67	0.56	0.19


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

/Dose-response analysis/Setup/Preparation schemes/Multi-dose scheme/choice/

Graphics

This section allows you to define how graphs are displayed.


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

/Dose-response analysis/Settings/

Grubbs test

Provides a statistical test for the detection of data outliers based on: Grubbs, Frank E. 1969. 'Procedures for detecting outlying observations in samples.' Technometrics 11 (1): 1-21.

The test is based on replicates. Sensitivity is defined by the respective alpha value.


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

/Dose-response analysis/Analysis/Data selection schemes/Data selection scheme/choice/

Identification

Enter a string to identify this document by this string rather than its name.

Note: We recommend to use unique identification strings. But this is not required.


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

/Dose-response analysis/

/Test system for dose-response analysis/

Identification

Enter a string to identify this document by this string rather than its name.

Note: We recommend to use unique identification strings. But this is not required.


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

/Equivalence margin development for dose-response analysis assays/

Import comment

Enter text to provide additional information on the data import.

Tip: You can enter multiline text.


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

/Dose-response analysis/Documentation/Data source/

Import module identification

Automatically inserts information that allows you to identify the import module used to import data.


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

/Dose-response analysis/Documentation/Data source/

Import time stamp

Automatically inserts the current date and time when you import data.


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

/Dose-response analysis/Documentation/Data source/

Information

Enter text that describes this Report group.

Tip: You can enter multiline text.


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

/Dose-response analysis/Setup/Report groups/Report group/

Initial working concentration

Enter a number to specify the first concentration of this sequence.

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

Important: If the value you enter here differs from values implied by the predilution factors of this preparation scheme and the concentration settings of referencing assay elements, the analysis uses the value you enter here, and the system returns a warning message and provides the discrepancy as Implicit factor in reports.


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

/Dose-response analysis/Setup/Preparation schemes/Multi-dose scheme/choice/Geometric sequence/

/Dose-response analysis/Setup/Preparation schemes/Multi-dose scheme/choice/Linear sequence/

/Dose-response analysis/Setup/Preparation schemes/Multi-dose scheme/choice/Stepwise dilution sequence/

Intercept (linear models)

Use this test for the following models:

Linear parallel-line model
Slope ratio model


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

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/

/Equivalence margin development for dose-response analysis assays/Margin development/Equivalence test (parameter estimate)/

/Equivalence margin development for dose-response analysis assays/Margin development/Test: Parameter/property point estimate/

Key

Enter a key to identify the user variable.


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

/Dose-response analysis/Documentation/User variable/

/Dose-response analysis/Setup/Assay elements/Standard/User variable/

/Dose-response analysis/Setup/Assay elements/Test/User variable/

/Dose-response analysis/Setup/Assay elements/Control/User variable/

Label

Enter text to specify the Label to be displayed.


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

/Dose-response analysis/Analysis/Additional calculations/Effective concentration/

Label of the x-axis

Enter a name for the x-axis.


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

/Dose-response analysis/Settings/Graphics/

Label of the y-axis

Enter a name for the y-axis.


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

/Dose-response analysis/Settings/Graphics/

Linear sequence

Allows you to define a linear sequence. That is, each term after the first is found by adding a fixed number to the previous.

Note: If you add an Initial working concentration element to define the concentration of the first step in this sequence, the value you enter overrides the value implied by the predilution factors of this preparation scheme and the concentration settings of referencing assay elements. Please consult the help page on the Initial working concentration element for additional information.

The dose value for step number 'j' of a linear sequence is given by:

First dose + Delta \cdot (Step number - 1).

Tip: Select a different sequence type from the drop-down list if you require.


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

/Dose-response analysis/Setup/Preparation schemes/Multi-dose scheme/choice/

Linked document

Select a document.


Data type	Multiplicity	Usage	Default value
dr:T_DocumentReference	0...unbounded	optional	none

/Dose-response analysis/Comment/

/Test system for dose-response analysis/Comment/

Logarithm base

Select the logarithm to be used for transforming your dose values.

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

Binary logarithm (base 2)
Natural logarithm (base e)
Decimal logarithm (base 10)


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

/Dose-response analysis/Analysis/Analytical model/choice/Logarithmic dose transformation/

Logarithm base

Select the logarithm to be used for transforming your response values.

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

Binary logarithm (base 2)
Natural logarithm (base e)
Decimal logarithm (base 10)


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

/Dose-response analysis/Analysis/Response data processing/choice/Transformation/choice/Logarithmic response transformation/

Logarithm base

Here you can select the logarithm base used for the transformation. Select one off

binary logarithm (logarithm base 2)
natural logarithm (logarithm base e)
decimal logarithm (logarithm base 10)


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

/Equivalence margin development for dose-response analysis assays/Visualization/choice/Logarithmic dose transformation/

Logarithmic dose transformation

Performs a logarithmic transformation of the dose values at the beginning of the calculation.

Expand the node to add or view information.

Tip: Select the No dose transformation option from the drop-down list if you do not require Logarithmic dose transformation.


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

/Dose-response analysis/Analysis/Analytical model/choice/

Logarithmic dose transformation

If this is element is selected the dose values will be logarithmically transformed at the start of the calculation. The logarithmic base can be selected as part of this element. If you do not want a dose transformation you can switch to the alternative element No dose transformation.


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

/Equivalence margin development for dose-response analysis assays/Visualization/choice/

Logarithmic response transformation

Select an option from the 'Logarithm base' drop-down list below to specify the logarithm to be used for transforming your response values.

Note: By default, the transformation you select is applied to every response value. Add a scope from the Creatable elements pane to restrict its application to an Assay element type or Assay element.

Tip: If you require 'No transformation', 'Square', or 'Square root response transformation', select the corresponding option from the 'Transformation' drop-down list.


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

/Dose-response analysis/Analysis/Response data processing/choice/Transformation/choice/

Lower asymptote (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
T_SingleTestStrategy	0...1	optional	none

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/

/Equivalence margin development for dose-response analysis assays/Margin development/Equivalence test (parameter estimate)/

/Equivalence margin development for dose-response analysis assays/Margin development/Test: Parameter/property point estimate/

Lower limit

Enter a number to specify the lower limit you want to use.

Note: Response values that are less than the lower limit you enter are treated as technical outliers and therefore excluded from analysis. Response values that are equal to the limit are included.


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

/Dose-response analysis/Analysis/Data selection schemes/Data selection scheme/Response range/

Lower margin

Enter the Lower margin of the test as decimal number. To pass the test, the observed value must be greater than or equal to the Lower margin.

Note: The system permits equal values for upper and lower margin.

Please consult the help page of the test for additional information.


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

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Equivalence test (parameter estimate)/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Parameter/property point estimate/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Value of interpolation/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Interval of interpolation/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Width of interpolation interval/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Response value range/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Test on effective concentration/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Response at effective concentration/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Transduction unit/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Recovery rate/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Equivalence test (parameter estimate)/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Parameter/property point estimate/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Value of interpolation/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Interval of interpolation/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Width of interpolation interval/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Response value range/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Test on effective concentration/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Response at effective concentration/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Transduction unit/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Recovery rate/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Equivalence test (parameter estimate)/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Parameter/property point estimate/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Value of interpolation/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Interval of interpolation/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Width of interpolation interval/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Response value range/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Effective concentration/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Response at effective concentration/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Transduction unit/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Recovery rate/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Equivalence test (parameter estimate)/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Parameter/property point estimate/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Value of interpolation/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Interval of interpolation/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Width of interpolation interval/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Response value range/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Effective concentration/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Response at effective concentration/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Transduction unit/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Recovery rate/

Lower margin

Enter the Lower margin of the test as decimal number. To pass the test, the observed value must be greater than or equal to the Lower margin.

Note: If you add a second margin, the system permits equal values for upper and lower margin.

Please consult the help page of the test for additional information.


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

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Mean squares (ANOVA)/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Sum of squares (ANOVA)/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Maximal number of outliers/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Maximal sequence step CV(%)/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Mean squares (ANOVA)/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Sum of squares (ANOVA)/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Maximal number of outliers/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Maximal sequence step CV(%)/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Mean squares (ANOVA)/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Sum of squares (ANOVA)/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Maximal number of outliers/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Maximal sequence step CV (%)/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Mean squares (ANOVA)/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Sum of squares (ANOVA)/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Maximal number of outliers/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Maximal sequence step CV (%)/

/Dose-response analysis/Analysis/Suitability tests/Assay suitability tests/choice/Test: Coefficient of determination (R²)/

/Dose-response analysis/Analysis/Suitability tests/Sample suitability tests/choice/Test: Coefficient of determination (R²)/

/Test system for dose-response analysis/Suitability tests/Assay suitability tests/choice/Test: Coefficient of determination (R²)/

/Test system for dose-response analysis/Suitability tests/Sample suitability tests/choice/Test: Coefficient of determination (R²)/

Lower margin (calculated value)

Select how you want to define the Lower margin of the test. The following options are available from the drop-down list:

Calculated value: Selects the corresponding Lower margin from the margins you developed.
Manual input: Allows you to enter a decimal number to set the Lower margin manually.


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

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/A upper ssymptote (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/B parameter (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/C parameter (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/D lower asymptote (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/G asymmetry parameter (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/Slope (linear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/Intercept (linear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/A-D difference of asymptotes (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Equivalence test (parameter estimate)/A/D ratio of asymptotes (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/A upper asymptote (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/B parameter (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/C parameter (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/D lower asymptote (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/G asymmetry parameter (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/Slope (linear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/Intercept (linear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/A-D difference of asymptotes (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Test: Parameter/property point estimate/A/D ratio of asymptotes (nonlinear models)/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Sum-of-squares model/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Sum-of-squares residual error/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Sum-of-squares lack of fit/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Sum-of-squares pure error/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Sum-of-squares total/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Mean-squared model/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Mean-squared residual error/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Mean-squared lack of fit/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Mean-squared pure error/choice/

/Equivalence margin development for dose-response analysis assays/Test strategies/Strategy/Anova terms/Test: Mean-squared total/choice/

Lower margin (manual input)

Select how you want to define the Lower margin of the test. The following options are available from the drop-down list:

Calculated value: Selects the corresponding Lower margin from the margins you developed.
Manual input: Allows you to enter a decimal number to set the Lower margin manually.


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