ECL`

AnalyzeParallelLine

AnalyzeParallelLine[StandardXY, AnalyteXY]⟹Object

calculate the relative potency ratio between EC50 values in two dose-response fitted curves.

Details

This function uses Four Parameter Logistic Regression method to analyze dose-response curves, as described in Object[Report,Literature,"id:4pO6dM55jxYr"]: Gottschalk, P.D. and Dunn, J.R. 2005. Measuring parallelism, linearity, and relative potency in bioassay and immunoassay data. Journal of Biopharmaceutical Statistics 15(3): 437-463..

Input

Output

General Options

Method Options

Examples

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Example Setup

These expressions are used in the examples to follow:

Basic Examples (4)

Can also be applied on quantity data:

Fit a Four Parameter Logistic Regression to each of the standard and analyte data:

The function can take in a list of analyte data to compare to the standard data:

The y-axis data can be a distribution:

Options (8)

Domain (1)

Points outside Domain will be excluded from fitting:

Exclude (1)

If there are known outliers in the data set, they can be excluded from fitting by listing them in the Exclude list:

ExcludeOutliers (1)

If ExcludeOutliers->True, any points detected as outliers will be excluded from fitting:

LogBase (1)

The log base used to transform concentrations to log scale:

LogTransformed (1)

True when the input x axis is log-transformed, False otherwise:

Name (1)

Name to be used as the name of Object[Analysis, ParallelLine] generated by the analysis:

OutlierDistance (1)

Control the distance at which points are labeled as outliers:

Template (1)

Use options from previous parallel line analysis to fit a cubic:

Last modified on Thu 18 Sep 2025 09:37:15