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

Exact analysis for paired binary data

K F Hirji1

  • 1Department of Biomathematics, UCLA School of Medicine 90024-1766.

Biometrics
|December 1, 1994
PubMed
Summary
This summary is machine-generated.

This study presents an efficient algorithm for analyzing paired binary data, even with small sample sizes. The method accurately generates distributions for the bivariate logistic model, aiding clinical trial analysis.

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

Exact and asymptotic tests for homogeneity in several 2 x 2 tables.

Statistics in medicine·1999
Same author

Persistently seronegative men from whom HIV-1 has been isolated are genetically and immunologically distinct.

Immunology letters·1996
Same author

Resistance to HIV infection may be genetically mediated.

AIDS (London, England)·1996
Same author

Exact power computation for dose-response studies.

Statistics in medicine·1995
Same author

Efficient power computation for exact and mid-P tests for the common odds ratio in several 2 x 2 tables.

Statistics in medicine·1994
Same author

An assessment of the use of anthropometric measures for predicting low birth weight.

Journal of tropical pediatrics·1993
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

Area of Science:

  • Biostatistics
  • Statistical Modeling

Background:

  • Correlated paired binary response data analysis presents challenges, especially in small sample studies.
  • Existing methods may lack efficiency or exactness for bivariate logistic models with complex covariate structures.

Purpose of the Study:

  • To develop and present an efficient algorithm for generating exact distributions in bivariate logistic models.
  • To enable robust analysis of correlated paired binary data in scenarios with limited sample sizes.

Main Methods:

  • An efficient algorithm is proposed for exact distribution generation in bivariate logistic models.
  • The algorithm accommodates both common and sub-unit-specific covariates.
  • The method is illustrated using data from an ophthalmologic study.

Related Experiment Videos

Main Results:

  • The developed algorithm provides exact distributions for the bivariate logistic model.
  • It is suitable for analyzing correlated paired binary response data from small sample studies.
  • The application in an ophthalmologic study demonstrates its practical utility.

Conclusions:

  • The proposed algorithm offers an efficient and exact solution for analyzing correlated paired binary data.
  • This method has broad applicability in clinical trials and observational studies with binary outcomes.
  • Extensions to handle three or more correlated binary responses are feasible.