Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Region of Convergence of Laplace Tarnsform01:20

Region of Convergence of Laplace Tarnsform

The Region of Convergence (ROC) is a fundamental concept in signal processing and system analysis, particularly associated with the Laplace transform. The ROC represents an area in the complex plane where the Laplace transform of a given signal converges, determining the transform's applicability and utility.
Consider a decaying exponential signal that begins at a specific time. When deriving its Laplace transform, the time-domain variable is replaced with a complex variable. This substitution...
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
F Distribution01:19

F Distribution

The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
Rotter's Locus of Control01:14

Rotter's Locus of Control

Julian Rotter introduced the concept of locus of control, a cognitive factor that significantly influences personality development and learning. Locus of control refers to an individual's beliefs about the extent of control they have over events in their lives. According to Rotter, this belief system can be categorized into two types: internal and external locus of control.
Individuals with an internal locus of control believe that their personal efforts and decisions directly affect their...

You might also read

Related Articles

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

Sort by
Same author

Training AI to Improve Distinction of Triple-Negative Invasive Breast Cancer from Cysts and Fibroadenomas on Ultrasound.

Diagnostics (Basel, Switzerland)·2026
Same author

Evaluation of In Vitro Efficiency of Ciclopirox Against <i>Yersinia pestis</i> and <i>Francisella tularensis</i>.

International journal of molecular sciences·2026
Same author

Pfirrmann Grading and Features of Internal Derangement Identified in Discs Studied by Lumbar Discography in Patients with Chronic Low Back Pain.

AJNR. American journal of neuroradiology·2025
Same author

Screening for Breast Cancer with Contrast-enhanced Mammography as an Alternative to MRI: SCEMAM Trial Results.

Radiology·2025
Same author

STOPPING RULES FOR LONG TERM CLINICAL TRIALS BASED ON TWO CONSECUTIVE: REJECTIONS OF THE NULL HYPOTHESIS.

Communications in statistics: theory and methods·2025
Same author

Novel Bivalent mRNA-LNP Vaccine for Highly Effective Protection against Pneumonic Plague.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Related Experiment Video

Updated: May 11, 2026

Advancing Dyslexia Assessment in Children Through Computerized Testing
09:00

Advancing Dyslexia Assessment in Children Through Computerized Testing

Published on: August 16, 2024

Subject-centered free-response ROC (FROC) analysis.

Andriy I Bandos1, Howard E Rockette, David Gur

  • 1Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 DeSoto Street, Pittsburgh, Pennsylvania 15261, USA. anb61@pitt.edu

Medical Physics
|May 3, 2013
PubMed
Summary

A new subject-centered free-response receiver operating characteristic (FROC) curve approach offers patient-centered insights into diagnostic system performance, revealing potential limitations of conventional target-centered methods, especially when target numbers vary.

More Related Videos

Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE
06:57

Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE

Published on: May 14, 2019

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

Related Experiment Videos

Last Updated: May 11, 2026

Advancing Dyslexia Assessment in Children Through Computerized Testing
09:00

Advancing Dyslexia Assessment in Children Through Computerized Testing

Published on: August 16, 2024

Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE
06:57

Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE

Published on: May 14, 2019

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

Area of Science:

  • Medical Imaging Analysis
  • Diagnostic Performance Evaluation
  • Receiver Operating Characteristic (ROC) Analysis

Background:

  • Conventional target-centered free-response receiver operating characteristic (FROC) curves may offer inadequate patient-centered inferences.
  • Diagnostic performance can correlate with the total number of targets per subject, impacting traditional FROC analysis.

Purpose of the Study:

  • To develop a subject-centered FROC curve estimation approach.
  • To provide patient-centered inferences on diagnostic system detection-localization characteristics.

Main Methods:

  • Examined properties of conventional target-centered FROC curves.
  • Defined and formulated a subject-centered FROC curve as a covariate-adjusted FROC curve.
  • Conducted a numerical study comparing conventional and subject-centered approaches.

Main Results:

  • Developed a simple, implementable approach for estimating the subject-centered FROC curve and its index.
  • Demonstrated that a system superior by target-centered metrics can be inferior from a subject-centered perspective.
  • Showed that disagreements between methods can be substantial under clinically reasonable conditions.

Conclusions:

  • The developed subject-centered FROC curve and its index offer tools for patient-centered inferences.
  • This approach provides relevant insights into potential patient benefits from diagnostic systems.
  • Findings can contradict conclusions from conventional target-centered FROC analysis.