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

Multiple Comparison Tests01:13

Multiple Comparison Tests

3.9K
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...
3.9K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
Survival Tree01:19

Survival Tree

78
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
78
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

1.5K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Pulsed field ablation using a large-tip focal contact force-sensing catheter with 3-dimensional mapping integration: 12-Month outcomes from the OMNY-AF pilot phase.

Heart rhythm O2·2026
Same author

Outcomes of Left Atrial Appendage Occlusion With a Coated Device: Primary Analysis of HEAL-LAA.

JACC. Clinical electrophysiology·2026
Same author

Impact of age and diagnosis-to-ablation time on sex differences in 12-month outcomes after catheter ablation for atrial fibrillation: An admIRE subanalysis.

Heart rhythm·2026
Same author

Impact of lab-based drug checking services on syringe service program engagement in Maryland, USA.

Harm reduction journal·2026
Same author

Procedural characteristics and clinical outcomes from same-day discharge after pulsed field ablation treatment for atrial fibrillation: an admIRE trial sub-analysis.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2025
Same author

State-of-the-Art Review of Current Technology in Pressure Injury Early Detection.

Advances in skin & wound care·2025
Same journal

Precise Numerical Differentiation of Thermodynamic Functions with Multicomplex Variables.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

Characterization of 3-Dimensional Printing and Casting Materials for use in Computed Tomography and X-ray Imaging Phantoms.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

On The Quotient of a Centralized and a Non-centralized Complex Gaussian Random Variable.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

Fast Methods for Finding Multiple Effective Influencers in Real Networks.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

Disinfection of Respirators with Ultraviolet Radiation.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

DNA Origami Design: A How-To Tutorial.

Journal of research of the National Institute of Standards and Technology·2024
See all related articles

Related Experiment Video

Updated: Jun 20, 2025

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

7.5K

Decision Tree for Key Comparisons.

Amanda Possolo1, Amanda Koepke1, David Newton2

  • 1National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.

Journal of Research of the National Institute of Standards and Technology
|July 17, 2024
PubMed
Summary
This summary is machine-generated.

A new Decision Tree guides statistical model selection for key comparisons in metrology. It aids in calculating reference values and degrees of equivalence, applicable across various scientific fields.

Keywords:
BayesianCochran's Q testGaussianLaplaceShapiro-Wilk testStudentdegrees of equivalencehierarchicalkey comparison reference valueskew-tsymmetry testweighted averageweighted median

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

7.5K
Spotting Cheetahs: Identifying Individuals by Their Footprints
09:47

Spotting Cheetahs: Identifying Individuals by Their Footprints

Published on: May 1, 2016

14.8K

Related Experiment Videos

Last Updated: Jun 20, 2025

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

7.5K
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

7.5K
Spotting Cheetahs: Identifying Individuals by Their Footprints
09:47

Spotting Cheetahs: Identifying Individuals by Their Footprints

Published on: May 1, 2016

14.8K

Area of Science:

  • Metrology in Chemistry and Biology
  • Statistical Modeling
  • Measurement Science

Background:

  • The Inorganic Analysis Working Group (IAWG) of the Consultative Committee for Amount of Substance, Metrology in Chemistry and Biology (CCQM) requires guidance for statistical model selection in key comparisons (KCs).
  • Existing methods may not cover the full range of scenarios encountered in KCs.
  • The need for a standardized approach to data reduction and model selection is critical for consistent and reliable results.

Purpose of the Study:

  • To introduce a Decision Tree to guide the selection of statistical models and data reduction procedures for key comparisons (KCs).
  • To provide a framework for calculating key comparison reference values (KCRVs), their uncertainties, and degrees of equivalence (DoEs).
  • To offer a widely applicable tool for various metrology working groups and consultative committees.

Main Methods:

  • Development of a Decision Tree incorporating three statistical tests.
  • The Decision Tree comprises five terminal leaves, each corresponding to a different method for computing KCRVs, uncertainties, and DoEs.
  • Illustrative examples drawn from CCQM-IAWG KCs, radionuclide measurements, and thermistor power sensor efficiency.

Main Results:

  • The Decision Tree provides a structured approach to selecting appropriate statistical models and data reduction procedures.
  • It offers five distinct pathways for calculating KCRVs, associated uncertainties, and degrees of equivalence.
  • Demonstrated applicability across diverse metrology applications, including chemical analysis and physical measurements.

Conclusions:

  • The Decision Tree serves as a valuable guide, not a rigid determinant, for KC statistical analysis.
  • It supports informed decision-making by scientists responsible for KCs.
  • The tool is broadly applicable and does not invalidate existing metrology results or CMCs.