Data analysis

Data analysis add-ons offer a wide range of capabilities, ranging from analytical methods over comprehensive analysis to assay workflows and statistical process control.

The following figure highlights the data analysis capabilities of PLA 3.0:
Four labeled icons representing key capabilities of PLA 3.0: 'Analytical methods' with a cyan plot, 'Comprehensive analysis' with a dark blue connected-node diagram, 'Assay workflows' with a cyan gear and circular arrows, and 'Statistical process control' with an orange graph and symbols.
Figure 1. Capabilities of data analysis add-ons in PLA 3.0

All add-ons come equipped with a set of document types, each of which covers a specific capability. To make use of a capability, activate the respective add-on in your PLA 3.0 database and create a document of the respective type. For details on how to activate add-ons, see the Activate add-ons topic.

Analytical methods

Design potency assays, cylinder-plate and turbidimetric assays. Set up interpolation analysis, curve comparisons, and more. The following table illustrates which add-on offers which analytical method:
Which method do you want to apply? Which add-on do you need?

Curve comparisons

Dose-Response Analysis Package

Cylinder plate assays (USP <81> and JP 4.02)

Microbial Assays for Antibiotics Package

Quantal response potency assay (dichotomous potency assay)

Dichotomous Assay Package

ECx calculation

Dose-Response Analysis Package

Interpolation analysis

Dose-Response Analysis Package

bioMérieux endotoxin detection assays

bioMérieux Endotoxin Detection Assay Package

Linearity-of-dilution assessment

Dose-Response Analysis Package

Parallel-line potency assay

Biological Assay Package

Parallel logistic potency assay

Biological Assay Package

Slope-ratio potency assay

Biological Assay Package

Spike-and-recovery analysis

Dose-Response Analysis Package

Turbidimetric assay

Microbial Assays for Antibiotics Package

Supported models

PLA 3.0 includes a broad range of regression models. Each model is available through one or more document types.

The following models are available:
  • Linear model
  • 2-parameter logistic model
  • 3-parameter logistic model
  • 4-parameter logistic model (with and without control line)
  • 5-parameter logistic model
  • Hill equation

Linear model

The following document types support the linear regression model:
Document type Description Details
bioMérieux endotoxin detection assay

Interpolation analysis with a specialized handling for low signal samples, especially designed for endotoxin impurity assays.

For details, see:

Cylinder plate assay (JP 4.02)

Simple 2x2 model for cylinder plate assays according to JP 4.02.

Cylinder plate assay (USP <81>)

Interpolation analysis with data processing steps specific to USP <81>.

Dichotomous assay

Generalized linear model for parallel-line potency assays using quantal (count) data with a probit or logit link function.

For details, see:

Dose-response analysis

Curve comparisons and interpolation analysis.

Quantitative response assay

Parallel-line potency assays.

Turbidimetric assay (USP <81>/JP 4.02)

Interpolation analysis with data processing steps specific to USP <81> and JP 4.02.

2-parameter logistic model

The following document type supports the 2-parameter logistic regression model:
Document type Description Details

Dose-response analysis

Curve comparisons and interpolation analysis.

3-parameter logistic model

Fixes one of the asymptotes of the 4-parameter logistic model either through manual input or a control line.

The following document types support the 3-parameter logistic regression model:
Document type Description Details

Quantitative response assay

Parallel-logistic potency assays.

Dose-response analysis

Curve comparison and interpolation analysis.

4-parameter logistic model

The following document types support the 4-parameter logistic regression model:
Document type Description Details

bioMérieux endotoxin detection assay

Interpolation analysis with a specialized handling for low signal samples, especially designed for endotoxin impurity assays. Uses weighting.

For details, see:

Dose-response analysis

Curve comparison and interpolation analysis.

Quantitative response assay

Parallel-logistic potency assays. Supports the 4-parameter logistic model with and without control line.

5-parameter logistic model

Extends the 4-parameter logistic model by including a parameter that controls model asymmetry.

The following document types support the 5-parameter logistic regression model:
Document type Description Details

Quantitative response assay

Parallel-logistic potency assays.

For details, see:

Dose-response analysis

Curve comparison and interpolation analysis.

Hill equation

The following document type supports the Hill equation regression model:
Document type Description Details

Dose-response analysis

Curve comparisons and interpolation analysis.

For details, see:

Suitability testing

Suitability testing ensures that assay results meet predefined performance criteria, confirming that the method is appropriate for its intended use. See the following table for details on the types of test available for the respective document type:
Document type Details Available in add-on

bioMérieux endotoxin detection assay

Test system

bioMérieux Endotoxin Detection Assay Package

Cylinder plate assay (JP 4.02)

Test system

Microbial Assays for Antibiotics Package

Cylinder plate assay (USP <81>)

Test system

Microbial Assays for Antibiotics Package

Combination of assay results

Suitability testing

Biological Assay Package

Combination of microbial assays

Test system

Microbial Assays for Antibiotics Package

Dichotomous assay

Suitability testing

Dichotomous Assay Package

Dose-response analysis

Suitability tests

Dose-Response Analysis Package

Quantitative response assay

Suitability testing

Biological Assay Package

Turbidimetric assay (USP <81>/JP 4.02)

Test system

Microbial Assays for Antibiotics Package

Comprehensive analysis

Calculate combined potency values and develop acceptance criteria based on historic assay data. The following data analysis add-ons offer comprehensive analysis capabilities:
Add-on Capability

Biological Assay Package

The Combination of assay results document type of this add-on lets you calculate reportable value for potency from independent assays, using the data aggregation feature of PLA 3.0.

This document type supports weighted and unweighted combinations as described in the EP 5.3, USP <111> and USP <1034>.

Biological Assay Package

Dose-Response Analysis Package

Both add-ons offer the Equivalence margin development document type. Equivalence margin development is a powerful core method of PLA 3.0. Use this document type to calculate up to 69 candidate equivalence margins like difference of parameter estimates, ratios of parameter estimates, and scaled ratios of parameter estimates.

Use the data aggregation concept of PLA 3.0 to aggregate directly from the independent assays without manual input.

Microbial Assays for Antibiotics Package

The Combination of microbial assays document type of this add-on lets you aggregate data of assay documents, apply confidence limits, check for outliers, perform combination of assays calculations, and define statistical tests.

Assay workflows

Set up control documents to organize assay runs and successive analysis. The following data analysis add-on supports you in setting up assay workflows:
Add-on Capability

Biological Assay Package

Use the Basic bioassay protocol document type of this add-on as control document to set up a typical analytical flow towards reportable values.

You use this document type to organize quantitative response assays and the respective combination calculations of assay results.

Statistical process control

Control, visualize, and monitor your analytical methods through control charts. The following data analysis add-on supports you in performing statistical process control:
Add-on Capability

Control Chart Package

Use the Control chart document type of this add-on to set up sophisticated statistical process control (for example, by plotting Shewhart I-Charts as recommended in the USP <1010>).

Use visualization options for intervals, subcharts and sidecharts, and define colors by a secondary characteristic.