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

Improved confidence intervals for the difference between binomial proportions based on paired data

R G Newcombe1

  • 1Department of Medical Computing and Statistics, University of Wales College of Medicine, Heath Park, Cardiff, U.K.

Statistics in Medicine
|December 5, 1998
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

Corrigendum to "Diagnostic accuracy of on-scan assessments compared to clinical assessments using a periodontal probe for detecting gingival recession: A cross-sectional study" [Journal of Dentistry Volume 166, March 2026, 106504].

Journal of dentistry·2026
Same author

Diagnostic accuracy of on-scan assessments compared to clinical assessments using a periodontal probe for detecting gingival recession: A cross-sectional study.

Journal of dentistry·2026
Same author

Prevalence of gingival recession and study of associated related factors in young UK adults.

Journal of dentistry·2018
Same author

Axillary tumour burden in women with one abnormal node on ultrasound compared to women with multiple abnormal nodes.

Clinical radiology·2018
Same author

Axillary tumour burden in women with a fine-needle aspiration/core biopsy-proven positive node on ultrasonography compared to women with a positive sentinel node.

The British journal of surgery·2017
Same author

A randomised clinical trial to determine the abrasive effect of the tongue on human enamel loss with and without a prior erosive challenge.

Journal of dentistry·2017
Same journal

Checking Genetic Homogeneity Between Two Samples Using Summary Statistics With Application to Mendelian Randomization.

Statistics in medicine·2026
Same journal

A Bayesian Learning Model for Joint Risk Prediction of Alcohol and Cannabis Use Disorders.

Statistics in medicine·2026
Same journal

Reluctant Transfer Learning in Penalized Regressions for Individualized Treatment Rules Under Effect Heterogeneity.

Statistics in medicine·2026
Same journal

Predictor-Assisted Nonparametric Graphical Models With Multivariate Error-Prone Data.

Statistics in medicine·2026
Same journal

Optimizing Treatment Decision Estimation for Right-Censored Survival Data Through Parameter Transfer Learning.

Statistics in medicine·2026
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
See all related articles

New methods improve confidence intervals for paired binomial proportions. These approaches offer better accuracy and coverage than existing techniques, addressing limitations in statistical analysis.

Area of Science:

  • Biostatistics
  • Statistical Inference
  • Clinical Trials

Background:

  • Existing confidence interval methods for paired binomial proportion differences exhibit significant limitations.
  • Asymptotic methods may yield invalid interval limits, while exact conditional methods can produce one-sided intervals.
  • Both traditional methods demonstrate inadequate coverage properties.

Purpose of the Study:

  • To develop and evaluate improved statistical methods for constructing confidence intervals for the difference between paired binomial proportions.
  • To address the performance deficiencies of current asymptotic and exact conditional approaches.
  • To provide more reliable and accurate confidence intervals for paired data analysis.

Main Methods:

  • Utilizing profile likelihood, derived from conditionally maximizing the proportion of discordant pairs.

Related Experiment Videos

  • Implementing a refinement aligning significance level (1-alpha) with aggregate tail areas (Methods 5 and 6).
  • Employing a computationally simpler score interval method for single proportions (Method 10).

    • Main Results:

    • The proposed profile likelihood-based methods demonstrate superior performance compared to existing techniques.
    • Refined methods (5 and 6) achieve appropriate coverage properties.
    • The score interval method (Method 10) also exhibits good performance and computational efficiency.

    Conclusions:

    • Improved methods based on profile likelihood offer enhanced accuracy and reliability for confidence intervals of paired binomial proportion differences.
    • These new approaches overcome the limitations of traditional methods, particularly regarding coverage and validity.
    • The score interval method provides a practical and effective alternative for statistical analysis in relevant research areas.