Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Band Theory

Band Theory

When two or more atoms come together to form a molecule, their atomic orbitals combine and molecular orbitals of distinct energies result. In a solid, there are a large number of atoms, and therefore a large number of atomic orbitals that may be combined into molecular orbitals. These groups of molecular orbitals are so closely placed together to form continuous regions of energies, known as the bands.
The energy difference between these bands is known as the band gap.
Conductor, Semiconductor,...

Molecular Orbital Theory II

Molecular Orbital Theory II

Molecular Orbital Energy Diagrams

Scientific Laws and Theories

Scientific Laws and Theories

Scientific Laws

Valence Bond Theory

Valence Bond Theory

Overview of Valence Bond Theory

Models, Theories, and Laws

Models, Theories, and Laws

Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...

Assessment of the Gastrointestinal System I: Subjective Data

Assessment of the Gastrointestinal System I: Subjective Data

Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health History
The initial step in assessing the GI system is obtaining a comprehensive health history. This includes inquiring about the patient's history or presence of problems...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

RNA interference therapy targeting coagulation factor XI: a first-in-human trial of RBD4059 (vortosiran).

Blood advances·2026

Same author

Predictors of Ability to Work in Multiple Sclerosis.

CPT: pharmacometrics & systems pharmacology·2025

Same author

Inhibition of Factor XI Using RBD4059: A Novel GalNAc-siRNA With Potent and Durable Antithrombotic Effects.

JACC. Basic to translational science·2025

Same author

A Model-Based Evaluation of Noninvasive Biomarkers to Reflect Histological Nonalcoholic Fatty Liver Disease Scores.

Pharmaceutical research·2024

Same author

Comparison of the power and type 1 error of total score models for drug effect detection in clinical trials.

Journal of pharmacokinetics and pharmacodynamics·2024

Same author

Exposure-response modeling for nausea incidence for cotadutide using a Markov modeling approach.

CPT: pharmacometrics & systems pharmacology·2024

Same journal

Integrated Population Pharmacokinetic Analysis of Intravitreal Aflibercept Drug Products.

CPT: pharmacometrics & systems pharmacology·2026

Same journal

Development and Use of a Population Pharmacokinetic Model for Characterizing the Pharmacokinetics of Vonoprazan in Pediatric Patients.

CPT: pharmacometrics & systems pharmacology·2026

Same journal

A Narrative Review of Artificial Intelligence for Drug Repurposing: Lessons From COVID-19 and Oncology (2020-2025).

CPT: pharmacometrics & systems pharmacology·2026

Same journal

Butorphanol Pharmacokinetics Across Species: Meta-Analysis Integrating Allometric Scaling and Minimal Physiologically Based Pharmacokinetic Modeling.

CPT: pharmacometrics & systems pharmacology·2026

Same journal

Accelerating Subcutaneous Drug Development: A Mechanistic Absorption Model for the Open Systems Pharmacology Framework.

CPT: pharmacometrics & systems pharmacology·2026

Same journal

Automated Pharmacometric Model Development by Leveraging Low-Dimensional Neural ODEs and LASSO Regression.

CPT: pharmacometrics & systems pharmacology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 13, 2026

Experimental Implementation of a New Composite Fabrication Method: Exposing Bare Fibers on the Composite Surface by the Soft Layer Method

Experimental Implementation of a New Composite Fabrication Method: Exposing Bare Fibers on the Composite Surface by the Soft Layer Method

Published on: October 6, 2017

Modeling Composite Assessment Data Using Item Response Theory.

Sebastian Ueckert¹

¹Pharmacometrics Research Group, Uppsala University, Sweden.

CPT: Pharmacometrics & Systems Pharmacology

|March 2, 2018

Summary

This summary is machine-generated.

This tutorial introduces item response theory (IRT) for analyzing discrete data from composite assessments in pharmacometrics. It covers conceptual and practical aspects for robust disease score analysis.

More Related Videos

A Simple Composite Phenotype Scoring System for Evaluating Mouse Models of Cerebellar Ataxia

A Simple Composite Phenotype Scoring System for Evaluating Mouse Models of Cerebellar Ataxia

Published on: May 21, 2010

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

Related Experiment Videos

Last Updated: Feb 13, 2026

Experimental Implementation of a New Composite Fabrication Method: Exposing Bare Fibers on the Composite Surface by the Soft Layer Method

Experimental Implementation of a New Composite Fabrication Method: Exposing Bare Fibers on the Composite Surface by the Soft Layer Method

Published on: October 6, 2017

A Simple Composite Phenotype Scoring System for Evaluating Mouse Models of Cerebellar Ataxia

A Simple Composite Phenotype Scoring System for Evaluating Mouse Models of Cerebellar Ataxia

Published on: May 21, 2010

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

Area of Science:

Pharmacometrics
Biostatistics
Psychometrics

Background:

Composite assessments integrate multiple disease aspects into a single score.
Data from composite assessments are discrete, requiring specialized statistical methods.
Item response theory (IRT) offers a robust framework for analyzing such data.

Purpose of the Study:

To present the item response theory (IRT) framework for analyzing discrete composite assessment data.
To provide guidance on applying IRT in a pharmacometric context.
To address both theoretical and practical considerations for IRT model building.

Main Methods:

Conceptual overview of item response theory (IRT) principles and assumptions.
Discussion of practical aspects including modeling software and data requirements.
Guidance on model building strategies for composite assessment data.

Main Results:

Item response theory (IRT) provides a structured approach to analyzing complex discrete data from composite assessments.
Understanding IRT assumptions and practicalities is crucial for accurate pharmacometric modeling.
The tutorial facilitates the application of IRT for developing and validating composite scores.

Conclusions:

Item response theory (IRT) is a valuable tool for analyzing discrete data in composite assessments within pharmacometrics.
This tutorial equips researchers with the knowledge to apply IRT effectively.
Adoption of IRT can enhance the precision and interpretability of disease scores.