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

Contingency Table

Contingency Table

A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...

Multi-species Conserved Sequences

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...

Kendall's Coefficient of Concordance

Kendall's Coefficient of Concordance

Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...

Accuracy, limits, and approximation

Accuracy, limits, and approximation

Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...

Conserved Binding Sites

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...

Reliability and Validity

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.

You might also read

Related Articles

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

Sort by

Same author

Delivering effective non-invasive ventilation in amyotrophic lateral sclerosis using intensive remote support (DENIM): protocol for an embedded process evaluation in a hybrid type 3 implementation-effectiveness trial.

Implementation science communications·2026

Same author

A systematic review of the methodological quality of randomised trials in IBD surgery.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2026

Same author

Sigmoid volvulus part 1: Understanding patient experiences and priorities.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2026

Same author

Association between age and surgical resection for patients with stage II or III colorectal cancer: national study.

BJS open·2026

Same author

Medical therapy in mild autonomous cortisol secretion.

Journal of the Endocrine Society·2026

Same author

Burden of non-cancer comorbidities and mortality in chronic pancreatitis: a retrospective cohort study.

BMJ open gastroenterology·2026

Same journal

Harms Reporting Was Frequently Incomplete or Discordant in Biomedical Randomized Trials Published in 2023: A Meta-epidemiological Study.

Journal of clinical epidemiology·2026

Same journal

Using an Open Science Checklist in Grant Proposal Reviews to Predict Reproducibility of Funded Publications.

Journal of clinical epidemiology·2026

Same journal

A comparison of five statistical methods used to analyse longitudinal EORTC QLQ-C30 quality of life scores in randomised controlled trials: a simulation study.

Journal of clinical epidemiology·2026

Same journal

Sample Size Determination for Decision-centered Pragmatic Trials.

Journal of clinical epidemiology·2026

Same journal

Many multicenter randomized controlled trials do not account for center effect: a methodological review.

Journal of clinical epidemiology·2026

Same journal

Patient Acceptability of the Modified Zelen Approach to Randomized Trials - A Survey of the CAPS THA Cohort.

Journal of clinical epidemiology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 20, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Commentary: core descriptor sets using consensus methods support 'table one' consistency.

Matthew J Lee¹, Segun Lamidi², Kate M Williams³

¹Institute for Applied Health Research, University of Birmingham, Birmingham, UK.

Journal of Clinical Epidemiology

|July 22, 2024

Summary

This summary is machine-generated.

Standardizing patient data reporting in clinical research is crucial for reproducibility. Core Descriptor Sets offer a solution for consistent data collection and analysis across studies.

Keywords:

Consensus Data analysis Documentation Epidemiologic research design Guidelines as topic Prognosis Publishing Reproducibility of results Research design Risk factors

More Related Videos

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Cryo-EM and Single-Particle Analysis with Scipion

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

Related Experiment Videos

Last Updated: Jun 20, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Cryo-EM and Single-Particle Analysis with Scipion

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

Area of Science:

Clinical Research Methodology
Data Standardization
Reproducibility in Science

Background:

Inconsistent reporting of patient characteristics in clinical research hinders reproducibility and limits analysis.
Standardized Table 1 reporting is proposed using condition-specific 'Core Descriptor Sets'.
Key factors include demographics, disease severity, comorbidities, and prognosis.

Purpose of the Study:

To propose and develop condition-specific Core Descriptor Sets for standardizing patient characteristic reporting in clinical research.
To enhance the reproducibility and analytical potential of clinical studies.
To facilitate data sharing and knowledge building in medical research.

Main Methods:

Stakeholder involvement in descriptor identification and value rating.
Systematic identification and consensus-building using multiple Delphi rounds.
Final agreement achieved through an expert meeting.

Main Results:

Development of standardized Core Descriptor Sets for clinical research.
Establishment of a consensus-based approach for defining essential patient characteristics.
Framework for consistent reporting of patient data in Table 1.

Conclusions:

Core Descriptor Sets enable easier cross-study comparison and individual patient meta-analysis.
Facilitates routine data analyses, subgroup identification, and risk stratification.
Improves clinical characterization, personalization, reproducibility, data sharing, and knowledge building, while minimizing research burden.