Modeling Composite Assessment Data Using Item Response Theory. (1st March 2018)

• Record Type: Journal Article
• Authors: Ueckert, Sebastian
• Is Part Of: CPT: pharmacometrics & systems pharmacology. Volume 7:Number 4(2018)
• Page Start: 205
• Page End: 218
• Publication Date: 2018-03-01
• Subjects: Pharmacokinetics -- Periodicals; Pharmacology -- Periodicals; Pharmacokinetics; Periodicals; 615.05
• DOI: 10.1002/psp4.12280
• Languages: English
• ISSNs: 2163-8306

Abstract

Abstract : Composite assessments aim to combine different aspects of a disease in a single score and are utilized in a variety of therapeutic areas. The data arising from these evaluations are inherently discrete with distinct statistical properties. This tutorial presents the framework of the item response theory (IRT) for the analysis of this data type in a pharmacometric context. The article considers both conceptual (terms and assumptions) and practical questions (modeling software, data requirements, and model building).