Standard sample elements

The Standard sample elements of CSV reports provide information about the reference standard, the fitted model and the individual dose steps of the Standard sample. For each step there are 'STD' rows with steps in square brackets.

Example

See the following abstract from an example report with the standard elements:

Report example

For a detailed description of this type of assay element, see the Assay elements topic.

Available elements

Key Description Entry in Validity column Usage

Name

Name of the Standard sample

no

mandatory

A lower asymptote

Lower asymptote of the fitted 4PL model

'valid' or 'invalid' (if the test is set up)

optional (depending on the test either A, B, C, D, or Intercept/Slope)

B parameter

B parameter (slope factor) of the fitted 4PL model

'valid' or 'invalid' (if the test is set up)

C parameter

C parameter (log EC50) of the fitted 4PL model

'valid' or 'invalid' (if the test is set up)

D upper asymptote

Upper asymptote of the fitted 4PL model

'valid' or 'invalid' (if the test is set up)

Intercept

Intercept of the fitted linear model

'valid' or 'invalid' (if the test is set up)

Slope

Slope of the fitted linear model

'valid' or 'invalid' (if the test is set up)

|r|

Coefficient of determination

'valid' or 'invalid' (if the test is set up)

mandatory

Activity

Activity per step

no

mandatory

CV(%)

CV (coefficient of determination) in percent, per step

'valid' or 'invalid' (if the test is set up)

mandatory

Special values for the Activity element

For the Activity element in the report, in certain cases it is not possible to calculate a real numerical value.

The following table shows these values and the possible reasons:

Value

Possible reasons

Remarks

-

No valid responses

Standard steps without valid responses are not shown in the CSV report. They do not have an activity.

NaN (Not a Number)

Every valid response matches one of the following criteria:

  • Response is a technical outlier

  • Interpolation formula leads to an unquantifiable value for the response

Fallback if NaN values are generated during the calculation (for example: Response > upper asymptote)

  • Interpolated dose to response is negative

Can only occur with the 4-parameter logistic model, as the linear model is delogarithmized to calculate the interpolated dose.