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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Detalles Bibliográficos
Autor principal: Ueckert, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Tutorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915608/
https://www.ncbi.nlm.nih.gov/pubmed/29493119
http://dx.doi.org/10.1002/psp4.12280
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author Ueckert, Sebastian
author_facet Ueckert, Sebastian
author_sort Ueckert, Sebastian
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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).
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spelling pubmed-59156082018-04-25 Modeling Composite Assessment Data Using Item Response Theory Ueckert, Sebastian CPT Pharmacometrics Syst Pharmacol Tutorial 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). John Wiley and Sons Inc. 2018-03-01 2018-04 /pmc/articles/PMC5915608/ /pubmed/29493119 http://dx.doi.org/10.1002/psp4.12280 Text en © 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Tutorial
Ueckert, Sebastian
Modeling Composite Assessment Data Using Item Response Theory
title 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_short Modeling Composite Assessment Data Using Item Response Theory
title_sort modeling composite assessment data using item response theory
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915608/
https://www.ncbi.nlm.nih.gov/pubmed/29493119
http://dx.doi.org/10.1002/psp4.12280
work_keys_str_mv AT ueckertsebastian modelingcompositeassessmentdatausingitemresponsetheory

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