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

Intraclass correlation for two-by-two tables under three sampling designs

C A Bodian1

  • 1Department of Biomathematical Sciences, Mount Sinai Medical Center, New York, New York 10029.

Biometrics
|March 1, 1994
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

Recurrence of Crohn's disease in end ileostomies.

Inflammatory bowel diseases·2013
Same author

The Appendix and IBD: Appendectomy Does Not Protect Against Ulcerative Colitis.

Inflammatory bowel diseases·2013
Same author

Changes in regional cerebral blood flow under hypothermic selective cerebral perfusion.

The Thoracic and cardiovascular surgeon·2004
Same author

A simple new formula to assess liver weight.

Transplantation proceedings·2003
Same author

Surgery for late-onset ulcerative colitis: predictors of short-term outcome.

Scandinavian journal of gastroenterology·2002
Same author

Surgery for ulcerative colitis in elderly persons: changes in indications for surgery and outcome over time.

Archives of surgery (Chicago, Ill. : 1960)·2001
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

This study introduces population models for binary classification agreement using intraclass correlation. Two estimators, ANOVA-type and maximum likelihood, are proposed and compared, showing minimal differences in symmetric tables.

Area of Science:

  • Statistics
  • Biostatistics
  • Psychometrics

Background:

  • Assessing agreement between two binary classifications often results in four-fold tables.
  • Existing methods for quantitative data can be adapted for binary data analysis.
  • Kraemer's approach provides a framework for population models in binary data agreement studies.

Purpose of the Study:

  • To describe population models for binary data analogous to quantitative data models.
  • To define parameters for intraclass correlation in various designs.
  • To propose and compare estimators for intraclass correlation in binary data.

Main Methods:

  • Development of population models for one-way random, two-way mixed, and two-way random designs.
  • Definition of intraclass correlation parameters for each model.

Related Experiment Videos

  • Proposal of two estimators: ANOVA-type tables and maximum likelihood estimation.

    • Main Results:

    • The maximum likelihood estimator for the two-way mixed design equals the phi coefficient.
    • For large samples, the ANOVA estimator for the two-way random design approximates Cohen's kappa.
    • Estimator differences are minimal with marginal symmetry but increase with asymmetry and prevalence near .50.

    Conclusions:

    • The study provides robust methods for estimating intraclass correlation in binary classification agreement.
    • The proposed estimators offer reliable alternatives, especially when marginal symmetry is present.
    • Understanding the impact of marginal asymmetry and prevalence is crucial for accurate agreement assessment.