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Modeling Composite Assessment Data Using Item Response Theory
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.ORCID iD: 0000-0002-3712-0255
2018 (English)In: CPT: Pharmacometrics & Systems Pharmacology, ISSN 2163-8306, Vol. 7, no 4, p. 205-218Article in journal (Refereed) Published
Abstract [en]

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).

Place, publisher, year, edition, pages
2018. Vol. 7, no 4, p. 205-218
National Category
Pharmacology and Toxicology
Identifiers
URN: urn:nbn:se:uu:diva-354244DOI: 10.1002/psp4.12280ISI: 000430807500001PubMedID: 29493119OAI: oai:DiVA.org:uu-354244DiVA, id: diva2:1220985
Available from: 2018-06-19 Created: 2018-06-19 Last updated: 2018-06-19Bibliographically approved

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CiteExportLink to record
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  • apa
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  • de-DE
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