π‘ Statistics Ontology
Maturity: π‘ Provisional
IRI: https://spec.industrialontologies.org/ontology/biopharma/Statistics/
RDF: Statistics.rdf
This module provides terms and relations for representing statistical models and analyses that quantify variation, effects, and quality across experimental, process development, testing, and historical data. It integrates core concepts from STATO within the IOF framework to support design of experiments, regression and variance analysis, response surface methodology, and statistical evaluation used for process characterization, monitoring, and validation.
Annotations
Copyright
Copyright (c) 2022, 2023, 2024, 2025, 2026 Open Applications Group
License
http://opensource.org/licenses/MIT
Classes (6)
| Class | Definition |
|---|---|
| covariate variable | variable representing an observed rather than deliberately assigned characteristic that is specified for accounting for variation β¦ |
| data preparation process | computing process in which input data are cleaned, organized, or otherwise transformed to make them suitable for subsequent analys⦠|
| explained variance | statistic representing the portion of the total variance in a dependent variable that is accounted for by one or more variables in⦠|
| exploratory data analysis | planned process used to determine and analyze characteristics of input data in order to identify structure, trends, or irregularit⦠|
| outlier detection | computing process in which input data are evaluated for the presence of outliers according to a detection criterion |
| response surface plot | figure that depicts the predicted values of a dependent variable as a continuous surface over two or more independent variables |
Object Properties (2)
| Property | Definition |
|---|---|
| contains values for variable | relation from an information content entity to a variable that holds when the information content entity contains one or more valu⦠|
| quantifies statistical association of | relation from a measure of association to an information content entity involved in the statistical relationship quantified by tha⦠|