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Data analysis
Data analysis add-ons offer a wide range of capabilities, ranging from analytical methods over comprehensive analysis to statistical process control. PLA 3.0 also provides a set of add-ons that support and supplement data analysis add-ons.
Biological Assay Package
Use the Biological Assay Package for potency analysis of biological assays. The add-on comes equipped with a highly flexible test system to qualify your assay. You can perform combination calculations to obtain a reportable value from independent assay runs and use historic assay data to develop equivalence margins.
Reference information
Find reference information on the document types of the Biological Assay Package add-on.
Equivalence margin development documents
Find details on the document structure of Equivalence margin development documents and access reference information on particular document elements.

Get started
Explore PLA 3.0, its key features and ongoing enhancements. Learn how it fits into your environment, and how to log in and register.
User interface
PLA 3.0 supports you in your daily work by providing a set of graphical and textual user interface elements. Learn about the different elements and how to use them efficiently.
Key concepts
Details on documents and templates, the data editors and the Content editor of PLA 3.0.
Data analysis
Data analysis add-ons offer a wide range of capabilities, ranging from analytical methods over comprehensive analysis to statistical process control. PLA 3.0 also provides a set of add-ons that support and supplement data analysis add-ons.
- Biological Assay Package
  Use the Biological Assay Package for potency analysis of biological assays. The add-on comes equipped with a highly flexible test system to qualify your assay. You can perform combination calculations to obtain a reportable value from independent assay runs and use historic assay data to develop equivalence margins.
  - Installation
    Find details on the system requirements for the Biological Assay Package add-on and the steps to install the add-on in your environment.
  - Basic bioassay protocol
    Use Basic bioassay protocol documents to combine the results of multiple independent assay runs into reportable values. Organize complex methods, retest scenarios, and report several products in a single assay.
  - Combination of assay results
    Use Combination of assay results documents to perform combination calculations for independent assay runs, thus obtaining reportable values for the potency.
  - Equivalence margin development
    Use Equivalence margin development documents to utilize data of historic assays to develop and verify test systems and use these systems to apply them in new assay development.
  - Quantitative response assays
    Use Quantitative response assay documents to calculate relative potencies of Test samples compared to a Standard sample. If you provide information on the stock solutions or raw materials, you can also determine absolute potencies based on several types of calculations.
  - Test system definition
    Use Test system definition documents to define a collection of suitability tests and corresponding margins for Quantitative response assays.
  - Reference information
    Find reference information on the document types of the Biological Assay Package add-on.
    - Basic bioassay protocol documents
      Find details on the document structure of Basic bioassay protocol documents and access reference information on particular document elements.
    - Combination of assay results documents
      Find details on the document structure of Combination of assay results documents and access reference information on particular document elements.
    - Equivalence margin development documents
      Find details on the document structure of Equivalence margin development documents and access reference information on particular document elements.
    - Quantitative response assay documents
      Find details on the document structure of Quantitative response assay documents and access reference information on particular document elements.
    - Test system definition documents
      Find details on the document structure of Test system definition documents and access reference information on particular document elements.
    - Document elements
      Find reference information on the document elements in the document types of the Biological Assay Package add-on.
    - Digest of document properties for data aggregation
- Biological Assays Simulation Package
  Use the Biological Assays Simulation Package to create simulations of quantitative response assays (QRAs) and use the Quantitative response assay document type of PLA 3.0 to store the simulated data.
- bioMérieux Endotoxin Detection Assay Package
  Use the bioMérieux Endotoxin Detection Assay Package add-on to perform endotoxin testing based on recombinant factor C (rFC), a synthetic alternative to naturally sourced reagents derived from horseshoe crabs, as offered by the bioMérieux company.
- Control Chart Package
  The Control Chart Package allows sophisticated statistical process control (for example, by plotting Shewhart I-Charts as recommended in the USP <1010>). It provides visualization options for intervals, subcharts and sidecharts, and allows you to define colors by a secondary characteristic. You can also define rules based on events and time frames.
- Dichotomous Assay Package
  Use the Dichotomous Assay Package to analyze biological assays based on quantal (binary) responses by fitting probit or logit models to estimate the potency of your samples.
- Dose-Response Analysis Package
  The Dose-Response Analysis Package provides various biostatistical methods for immunoassays, ELISA, and more. It supports you in investigating equivalence for calibration curves, provides enhanced data processing, and options for subgroup analysis.
- Generic Document Types Package
  Use the Generic Document Types Package add-on to document general information.
- Integration Report Package
  Use the Integration Report Package for creating reports in additional file formats that are not covered by the standard PLA 3.0 reporting functionality. These reports can be used for example for automated processing in third-party software.
- Measurement Documentation Package
  The Measurement Documentation Package add-on is a universal add-on for documenting different aspects of a measurement. Its documents can be referenced by other document types, for example, Quantitative response assays.
- Microbial Assays for Antibiotics Package
  The Microbial Assays for Antibiotics Package for PLA 3.0 is your software for assessing the potency of antibiotics. This add-on supports various methods, that is, cylinder-plate, turbidimetric, and combination of microbial assays. It enables you to closely follow the guidelines laid out in the United States Pharmacopeia (USP <81>) and the Japanese Pharmacopoeia (JP 4.02).
- Split Assay Package
  Use the Split Assay Package to split a Quantitative response assay with several Test and Control samples into individual assays, each with the Standard and one Test or Control sample.
- Toolkit for Biological Assay Package
  Use the Toolkit for Biological Assay Package to modify the analytical settings of larger sets of Quantitative response assays or split Quantitative response assays with more than one test or control sample into individual assays.
Data import
Use data acquisition and data import add-ons to import external response values and observation data into PLA 3.0 for further processing and evaluation.
Installation
Details on the deployment and installation of licensed PLA 3.0 versions.
Licensing
Details on the licensing solution of PLA 3.0, the available licensing options, and the activation and management of licenses.
Administration
Details on system administration tasks such as setup and maintenance of databases and add-ons, user accounts, access rights, and migration and update procedures.
Regulatory compliance
PLA 3.0 supports you in achieving compliance with regulations such as ISPE GAMP^® 5 and 21 CFR Part 11. It also provides options to validate PLA 3.0 in your environment.
PDF downloads
Download PDF guides of current and previous framework and add-on versions.
Sample lab
Meet the team of Stegmann Labs Inc. and use our sample laboratory to explore core features and functions of PLA 3.0.
Glossary
Find definitions of terms.

Equivalence margin development documents

Find details on the document structure of Equivalence margin development documents and access reference information on particular document elements.

Select a link to display reference information about the respective element.

Equivalence margin development (Quantitative response assays)
.... Name
.... Identification
.... Date
.... Settings
........ Margin development
........ Test strategy verification
........ Test strategy visualization
........ Confidence level
........ Tolerance level
.... Data table
........ Observation source
........ Row order
........ Document reference
........ Column: Assay element
............ Name
............ Column key
............ Property filter
................ Property key
................ Term
........ Column: Assignment
............ Name
........ Column: Scientifically acceptable
............ Name
........ Column: Exclude assay
............ Name
............ Column key
............ Property scope
............ Property key
............ Section key
.... Margin development
........ Equivalence tests: Parameter estimate
............ Upper asymptote (A) (nonlinear models)
............ B parameter (nonlinear models)
............ C parameter (nonlinear models)
............ Lower asymptote (D) (nonlinear models)
............ Asymmetry parameter (G) (nonlinear models)
............ Slope (linear models)
............ Intercept (linear models)
............ Difference of asymptotes (A - D) (nonlinear models)
............ Ratio of asymptotes (A / D) (nonlinear models)
........ Equivalence tests: Difference of parameter estimates
............ Margin symmetry assumption
............ Upper asymptote (A) (nonlinear models)
............ B parameter (nonlinear models)
............ C parameter (nonlinear models)
............ Lower asymptote (D) (nonlinear models)
............ Asymmetry parameter (G) (nonlinear models)
............ Slope (linear models)
............ Intercept (linear models)
............ Difference of asymptotes (A - D) (nonlinear models)
........ Equivalence tests: Ratio of parameter estimates
............ Margin symmetry assumption
............ Upper asymptote (A) (nonlinear models)
............ B parameter (nonlinear models)
............ C parameter (nonlinear models)
............ Lower asymptote (D) (nonlinear models)
............ Asymmetry parameter (G) (nonlinear models)
............ Slope (linear models)
............ Intercept (linear models)
............ Difference of asymptotes (A - D) (nonlinear models)
........ Equivalence tests: Scaled parameter range
............ Upper asymptote (A) (nonlinear models)
............ B parameter (nonlinear models)
............ C parameter (nonlinear models)
............ Lower asymptote (D) (nonlinear models)
............ Asymmetry parameter (G) (nonlinear models)
............ Slope (linear models)
............ Intercept (linear models)
............ Difference of asymptotes (A - D) (nonlinear models, Standard only)
........ Point estimate tests: Parameter estimate
............ Upper asymptote (A) (nonlinear models)
............ B parameter (nonlinear models)
............ C parameter (nonlinear models)
............ Lower asymptote (D) (nonlinear models)
............ Asymmetry parameter (G) (nonlinear models)
............ Slope (linear models)
............ Intercept (linear models)
............ Slope (nonlinear models)
............ Difference of asymptotes (A - D) (nonlinear models)
............ Ratio of asymptotes (A / D) (nonlinear models)
........ Point estimate tests: Difference of parameter estimates
............ Upper asymptote (A) (nonlinear models)
............ B parameter (nonlinear models)
............ C parameter (nonlinear models)
............ Lower asymptote (D) (nonlinear models)
............ Asymmetry parameter (G) (nonlinear models)
............ Slope (linear models)
............ Intercept (linear models)
............ Difference of asymptotes (A - D) (nonlinear models)
........ Point estimate tests: Ratio of parameter estimates
............ Upper asymptote (A) (nonlinear models)
............ B parameter (nonlinear models)
............ C parameter (nonlinear models)
............ Lower asymptote (D) (nonlinear models)
............ Asymmetry parameter (G) (nonlinear models)
............ Slope (linear models)
............ Intercept (linear models)
............ Difference of asymptotes (A - D) (nonlinear models)
........ Tests: Normalized difference of asymptotes
............ Test: Normalized difference of upper asymptotes
............ Test: Normalized difference of lower asymptotes
........ Additional tests
............ Test: Sum of squares regression
............ Test: Sum of squares non-parallelism
............ Test: Sum of squares non-linearity
................ Test: Sum of squares non-linearity (all)
................ Test: Sum of squares non-linearity (Standard only)
................ Test: Sum of squares non-linearity (Test/Control)
............ Test: Ratio sum of squares non-linearity / sum of squares regression
............ Test: Residual error
............ Test: Pure error
.... Test strategies
........ Strategy
............ Name
............ Equivalence tests: Parameter estimate
................ Upper asymptote (A) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ B parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ C parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Lower asymptote (D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Asymmetry parameter (G) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Slope (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Intercept (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Difference of asymptotes (A - D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Ratio of asymptotes (A / D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
............ Equivalence tests: Difference of parameter estimates
................ Upper asymptote (A) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ B parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ C parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Lower asymptote (D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Asymmetry parameter (G) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Slope (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Intercept (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Difference of asymptotes (A - D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
............ Equivalence tests: Ratio of parameter estimates
................ Upper asymptote (A) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ B parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ C parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Lower asymptote (D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Asymmetry parameter (G) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Slope (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Intercept (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Difference of asymptotes (A - D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
............ Equivalence tests: Scaled parameter range
................ Upper asymptote (A) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Alternatives
........................ Reference mean (calculated value)
........................ Reference mean (manual input)
................ B parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Alternatives
........................ Reference mean (calculated value)
........................ Reference mean (manual input)
................ C parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Alternatives
........................ Reference mean (calculated value)
........................ Reference mean (manual input)
................ Lower asymptote (D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Alternatives
........................ Reference mean (calculated value)
........................ Reference mean (manual input)
................ Asymmetry parameter (G) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Alternatives
........................ Reference mean (calculated value)
........................ Reference mean (manual input)
................ Slope (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Alternatives
........................ Reference mean (calculated value)
........................ Reference mean (manual input)
................ Intercept (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Alternatives
........................ Reference mean (calculated value)
........................ Reference mean (manual input)
................ Difference of asymptotes (A - D) (nonlinear models, Standard only)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Alternatives
........................ Reference mean (calculated value)
........................ Reference mean (manual input)
.................... Scope of the test
............ Point estimate tests: Parameter estimate
................ Upper asymptote (A) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ B parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ C parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Lower asymptote (D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Asymmetry parameter (G) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Slope (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Intercept (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Slope (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Difference of asymptotes (A - D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
................ Ratio of asymptotes (A / D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.................... Scope of the test
............ Point estimate tests: Difference of parameter estimates
................ Upper asymptote (A) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ B parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ C parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Lower asymptote (D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Asymmetry parameter (G) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Slope (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Intercept (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Difference of asymptotes (A - D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
............ Point estimate tests: Ratio of parameter estimates
................ Upper asymptote (A) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ B parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ C parameter (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Lower asymptote (D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Asymmetry parameter (G) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Slope (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Intercept (linear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Difference of asymptotes (A - D) (nonlinear models)
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
............ Tests: Normalized difference of asymptotes
................ Test: Normalized difference of upper asymptotes
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Test: Normalized difference of lower asymptotes
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
............ Additional tests
................ Test: Sum of squares regression
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Test: Sum of squares non-parallelism
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
................ Test: Sum of squares non-linearity
.................... Test: Sum of squares non-linearity (all)
........................ Alternatives
............................ Upper margin (calculated value)
............................ Upper margin (manual input)
.................... Test: Sum of squares non-linearity (Standard only)
........................ Alternatives
............................ Upper margin (calculated value)
............................ Upper margin (manual input)
.................... Test: Sum of squares non-linearity (Test/Control)
........................ Alternatives
............................ Upper margin (calculated value)
............................ Upper margin (manual input)
................ Test: Ratio sum of squares non-linearity / sum of squares regression
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Test: Residual error
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
................ Test: Pure error
.................... Alternatives
........................ Upper margin (calculated value)
........................ Upper margin (manual input)
.................... Alternatives
........................ Lower margin (calculated value)
........................ Lower margin (manual input)
.... Visualization
........ Max simulations
........ Max configurations
........ Model
........ Logarithm base
........ Degrees of freedom
........ Transformed dose range
............ Transformed dose minimum
............ Transformed dose maximum
........ Response range
............ Response minimum
............ Response maximum
........ Simulation space
............ Upper asymptote (A) (nonlinear models)
................ Standard error
............ B parameter (nonlinear models)
................ Standard error
............ C parameter (nonlinear models)
................ Standard error
............ Lower asymptote (D) (nonlinear models)
................ Standard error
............ Asymmetry parameter (G) (nonlinear models)
................ Standard error
............ Intercept (linear models)
................ Standard error
............ Slope (linear models)
................ Standard error
............ Covariances
................ Cov(A,D) standard sample
................ Cov(A,D) test/control sample
.... Comment
........ Subject
........ Text
........ Linked document
........ Date
........ Author