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

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

545
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
545
Genetic Screens02:46

Genetic Screens

5.8K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.8K
Complementation Tests00:49

Complementation Tests

6.3K
A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
6.3K
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

497
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...
497
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.5K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.5K
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

434
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
434

You might also read

Related Articles

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

Sort by
Same author

Preclinical rodent studies support minocycline as an adjunctive anxiolytic.

Progress in neuro-psychopharmacology & biological psychiatry·2026
Same author

[Association between cardiovascular health score based on Life's Essential 8 and attention deficit hyperactivity disorder symptoms among children aged 6-12 in Guangzhou].

Zhonghua yi xue za zhi·2025
Same author

Unequivocal Identification of Spin-Triplet and Spin-Singlet Superconductors with Upper Critical Field and Flux Quantization.

Physical review letters·2023
Same author

Associations between paternal versus maternal parenting behaviors and child and adolescent internalizing problems: A systematic review and meta-analysis.

Clinical psychology review·2023
Same author

New insights on commemoration of the dead through mortuary and architectural use of pigments at Neolithic Çatalhöyük, Turkey.

Scientific reports·2022
Same author

Probiotic <i>Escherichia coli</i> Nissle inhibits IL-6 and MAPK-mediated cardiac hypertrophy during STZ-induced diabetes in rats.

Beneficial microbes·2021

Related Experiment Video

Updated: Feb 18, 2026

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells
05:29

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells

Published on: March 28, 2021

3.2K

Some results on combinations of two binary screening tests.

S C Lin1

  • 1Office of Epidemiology and Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Rockville, Maryland 20857, USA.

Journal of Biopharmaceutical Statistics
|March 26, 1999
PubMed
Summary

Combining two medical screening tests can improve disease detection accuracy. This strategy, using the Boolean Any+ method, helps predict performance for clinical trials.

Area of Science:

  • Medical diagnostics
  • Biostatistics
  • Public health screening

Background:

  • Two medical screening tests for a disease may be combined to enhance diagnostic accuracy.
  • Independent screening tests with proven performance can collectively improve overall disease detection rates.

Purpose of the Study:

  • To explore the performance of combined binary screening tests using the Boolean Any+ strategy.
  • To provide a predictive framework for investigators evaluating combined screening test performance.

Main Methods:

  • Application of the Boolean Any+ strategy for combining two binary screening tests.
  • Analysis of expected performance metrics for the combined screening approach.

Main Results:

More Related Videos

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K

Related Experiment Videos

Last Updated: Feb 18, 2026

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells
05:29

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells

Published on: March 28, 2021

3.2K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K

  • The Boolean Any+ strategy yields specific results when combining two binary screening tests.
  • These results offer insights into the potential performance of combined screening tests.

    • Conclusions:

    • Combining valid screening tests using the Boolean Any+ strategy can enhance overall disease screening performance.
    • The findings provide a basis for anticipating combined test efficacy, potentially guiding future clinical trials.