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

Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

3.1K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
3.1K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.7K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.7K
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data

568
Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
568
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

565
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...
565

You might also read

Related Articles

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

Sort by
Same author

Cyclodialysis Surgery for Glaucoma Management: A Systematic Review and Meta-Analysis of 100 Years of Clinical Evidence.

Clinical ophthalmology (Auckland, N.Z.)·2025
Same author

Using Propensity Score Weighting to Enhance the Operating Characteristics of Power Prior in Leveraging External Data to Augment a Traditional Clinical Study.

Pharmaceutical statistics·2025
Same author

A propensity score-integrated approach for leveraging external data in a randomized controlled trial with time-to-event endpoints.

Pharmaceutical statistics·2024
Same author

Propensity score-incorporated adaptive design approaches when incorporating real-world data.

Pharmaceutical statistics·2023
Same author

Vision protection therapy for prevention of neovascular age-related macular degeneration.

Scientific reports·2023
Same author

Principled leveraging of external data in the evaluation of diagnostic devices via the propensity score-integrated composite likelihood approach.

Pharmaceutical statistics·2023

Related Experiment Video

Updated: Mar 16, 2026

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics
10:42

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

3.6K

Statistical innovations in diagnostic device evaluation.

Tinghui Yu1, Qin Li1, Gerry Gray1

  • 1a Division of Biostatistics, Center for Devices and Radiological Health , U.S. Food and Drug Administration , Silver Spring , Maryland , USA.

Journal of Biopharmaceutical Statistics
|August 20, 2016
PubMed
Summary

Innovative statistical methods are crucial for evaluating rapidly advancing diagnostic devices. This includes methods like bootstrapping and robust analyses for missing data, ensuring accurate device assessment.

Keywords:
BiomarkerMRMC studiesROCbootstrapcompanion diagnosticsmissing data

More Related Videos

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.0K
Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
16:05

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

8.1K

Related Experiment Videos

Last Updated: Mar 16, 2026

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics
10:42

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

3.6K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.0K
Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
16:05

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

8.1K

Area of Science:

  • Medical device evaluation
  • Statistical methodology
  • Regulatory science

Background:

  • Diagnostic device innovation is accelerating rapidly.
  • Traditional statistical methods may be insufficient for evaluating new diagnostic technologies.
  • The Food and Drug Administration (FDA) plays a key role in ensuring device safety and efficacy.

Purpose of the Study:

  • To highlight key statistical innovations for diagnostic device evaluation.
  • To emphasize the need for advanced statistical approaches in regulatory science.
  • To showcase leadership from FDA statisticians in adopting new methods.

Main Methods:

  • Adoption of bootstrap and Jackknife resampling methods.
  • Implementation of multiple reader multiple case (MRMC) study designs.
  • Application of robustness analyses to handle missing data.
  • Development of study designs and data analyses for companion diagnostics.

Main Results:

  • Successful integration of advanced statistical techniques in diagnostic device evaluation.
  • Improved methods for assessing diagnostic accuracy and reliability.
  • Enhanced approaches for managing missing data and complex study designs.
  • Tailored statistical frameworks for companion diagnostic development.

Conclusions:

  • Innovative statistical methods are essential for the rigorous evaluation of modern diagnostic devices.
  • FDA statisticians are actively implementing advanced techniques to ensure regulatory compliance and public health.
  • Continued development and adoption of sophisticated statistical approaches will support future diagnostic innovations.