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

Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K

You might also read

Related Articles

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

Sort by
Same author

Clustering in point processes on linear networks using nearest neighbour volumes.

Journal of applied statistics·2025
Same author

Statistical Picking of Multivariate Waveforms.

Sensors (Basel, Switzerland)·2022
See all related articles

Related Experiment Video

Updated: Jun 16, 2025

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.1K

Testing for a General Changepoint in Medical and Psychometric Studies: Changes Detection and Sample Size Planning.

Nicoletta D'Angelo1

  • 1Department of Economics, Business, and Statistics, University of Palermo, Palermo, Italy.

Statistics in Medicine
|June 13, 2025
PubMed
Summary

A novel pseudo Score statistic method simplifies change detection in medical and psychometric studies. This approach offers known distributions for power analysis and outperforms existing tests for change point detection.

Keywords:
changepointspower analysispsychometrysample sizesegmented regression

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
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.0K

Related Experiment Videos

Last Updated: Jun 16, 2025

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.1K
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
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.0K

Area of Science:

  • Statistics
  • Biostatistics
  • Psychometrics

Background:

  • Change detection is crucial in medical and psychometric research.
  • Existing methods for change point detection often require complex computations like resampling or simulations.
  • Accurate power analysis and sample size planning are essential for study design.

Purpose of the Study:

  • Introduce a new, computationally simple method for change detection using the pseudo Score statistic.
  • Determine the sampling distribution of the pseudo Score statistic under the alternative hypothesis.
  • Facilitate power analysis and sample size planning in segmented regression with unknown breakpoints.

Main Methods:

  • Utilized the recently introduced pseudo Score statistic for change detection.
  • Determined the sampling distribution under the alternative hypothesis.
  • Developed a method that bypasses the need for resampling or simulations to find critical values.

Main Results:

  • The proposed method offers known null and alternative distributions, simplifying power and sample size calculations.
  • Simulation studies demonstrated superior performance compared to other Tests for a Change Point (TFCP) with both normal and binary data.
  • Real data analyses were successfully conducted on genomic and SAT critical reading datasets.

Conclusions:

  • The new pseudo Score statistic-based method provides a computationally efficient and accurate approach to change detection.
  • This method enhances power analysis and sample size planning in segmented regression.
  • The tool is accessible via CRAN and a user-friendly Shiny App, supporting medical and psychometric research.