Modeling Composite Assessment Data Using Item Response Theory

Modeling Composite Assessment Data Using Item Response Theory

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 th...

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Main Author: Sebastian Ueckert
Format: Article
Language:English
Published: Wiley 2018-04-01
Series:CPT: Pharmacometrics & Systems Pharmacology
Online Access:https://doi.org/10.1002/psp4.12280
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spelling doaj-079bdeae2eea449babfd1633aeb1c58e2020-11-25T03:43:19ZengWileyCPT: Pharmacometrics & Systems Pharmacology2163-83062018-04-017420521810.1002/psp4.12280Modeling Composite Assessment Data Using Item Response TheorySebastian Ueckert0Pharmacometrics Research Group, Uppsala University SwedenComposite 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).https://doi.org/10.1002/psp4.12280
collection DOAJ
language English
format Article
sources DOAJ
author Sebastian Ueckert
spellingShingle Sebastian Ueckert
Modeling Composite Assessment Data Using Item Response Theory
CPT: Pharmacometrics & Systems Pharmacology
author_facet Sebastian Ueckert
author_sort Sebastian Ueckert
title Modeling Composite Assessment Data Using Item Response Theory
title_short Modeling Composite Assessment Data Using Item Response Theory
title_full Modeling Composite Assessment Data Using Item Response Theory
title_fullStr Modeling Composite Assessment Data Using Item Response Theory
title_full_unstemmed Modeling Composite Assessment Data Using Item Response Theory
title_sort modeling composite assessment data using item response theory
publisher Wiley
series CPT: Pharmacometrics & Systems Pharmacology
issn 2163-8306
publishDate 2018-04-01
description 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).
url https://doi.org/10.1002/psp4.12280
work_keys_str_mv AT sebastianueckert modelingcompositeassessmentdatausingitemresponsetheory
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