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 Experiment Videos

The Skill Plot: a graphical technique for evaluating continuous diagnostic tests.

William M Briggs1, Russell Zaretzki

  • 1Department of Mathematics, Central Michigan University, 214 Pearce Hall, Mt. Pleasant, MI 28849, USA. mattstat@gmail.com

Biometrics
|February 29, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The PFAS Conundrum-Of Logic, Science, Policy.

Toxics·2025
Same author

Oral microbiome and mycobiome dynamics in cancer therapy-induced oral mucositis.

Scientific data·2025
Same author

Inpatient Small Bowel Capsule Endoscopy: Not Associated With Bleeding Site Identification or 30-Day Readmission Prevention.

Cureus·2024
Same author

A Retrospective Analysis of the Disruptions in the HIV Continuum of Care During the COVID-19 Pandemic: Lessons From a Clinic-Based Study.

Cureus·2024
Same author

Nitrogen Critical Loads: Critical Reflections on Past Experiments, Ecological Endpoints, and Uncertainties.

Dose-response : a publication of International Hormesis Society·2022
Same author

Nitrogen Critical Loads: Critical Reflections on Past Experiments, Ecological Endpoints and Uncertainties.

Dose-response : a publication of International Hormesis Society·2022
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

The Skill Plot offers a straightforward way to find the best decision rule for diagnostic tests, improving upon traditional methods like ROC curves for better predictions.

Area of Science:

  • Medical Diagnostics
  • Statistical Modeling
  • Decision Analysis

Background:

  • Diagnostic tests are crucial for medical decision-making.
  • Traditional methods like ROC curves have limitations in identifying optimal cutoffs.
  • Evaluating the predictive utility of diagnostic classifiers is essential.

Purpose of the Study:

  • Introduce the Skill Plot as a novel method for diagnostic test evaluation.
  • Provide a graphical tool for easy identification of optimal decision rules.
  • Compare the performance of diagnostic classifiers and validate against Bayesian decision theory.

Main Methods:

  • Developed the Skill Plot for graphical inspection of diagnostic test performance.
  • Utilized the Skill Plot to determine optimal cutoffs and decision rules.

Related Experiment Videos

  • Compared the predictive utility of different classifiers using a skill measure.
  • Validated the skill-based cutoff against Bayesian decision theory principles.

    • Main Results:

    • The Skill Plot facilitates direct graphical inspection of optimal cutoffs for diagnostic tests.
    • The method determines if diagnoses improve upon naive forecasts.
    • The skill measure allows for direct comparison of classifier predictive utility.
    • The skill-based cutoff aligns with optimal posterior odds from Bayesian decision theory.

    Conclusions:

    • The Skill Plot is a valuable tool for decision-makers using diagnostic tests.
    • It simplifies the identification of optimal decision rules and performance evaluation.
    • The method offers an alternative to ROC analysis for comparing classifiers.