Modeling Composite Assessment Data Using Item Response Theory

CPT: Pharmacometrics & Systems Pharmacology
Sebastian Ueckert

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).

References

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Citations

Oct 28, 2019·Journal of Pharmacokinetics and Pharmacodynamics·A BrekkanE L Plan
Oct 16, 2019·CPT: Pharmacometrics & Systems Pharmacology·Sebastiaan C GouloozeElke H J Krekels
Sep 9, 2020·Pharmaceutical Research·Alejandro Perez-PitarchSreedharan Sabarinath
Apr 15, 2020·Journal of Pharmacokinetics and Pharmacodynamics·Elham HaemMats O Karlsson
Jul 4, 2020·Journal of Pharmacokinetics and Pharmacodynamics·Leticia ArringtonMats O Karlsson
Jul 26, 2018·Journal of Pharmacokinetics and Pharmacodynamics·Dongwoo Chae, Kyungsoo Park
Nov 27, 2020·Journal of Pharmacokinetics and Pharmacodynamics·Sebastian Ueckert, Mats O Karlsson
Feb 14, 2021·British Journal of Clinical Pharmacology·Yucheng ShengChao Chen
May 6, 2021·CPT: Pharmacometrics & Systems Pharmacology·Chao ChenMats O Karlsson
Aug 13, 2021·Journal of Clinical Pharmacology·Sebastiaan C GouloozeCatherijne A J Knibbe

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Methods Mentioned

BETA
GAM

Software Mentioned

SAS
R
IRT
GAM
NONMEM
MIRT
NLMEM
CRAN
Stan

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