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

Generalization of the Mantel-Haenszel estimating function for sparse clustered binary data.

Molin Wang1, John M Williamson

  • 1Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA. mwang@jimmy.harvard.edu

Biometrics
|January 13, 2006
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

Adherence to the Mediterranean diet and risk of pancreatic cancer: an analysis of 2.3 million participants in the Pooling Project of Prospective Studies of Diet and Cancer (DCPP).

European journal of epidemiology·2026
Same author

GDF11 supplementation improved retinal structure and function in retinal ischemia injury.

Advances in ophthalmology practice and research·2026
Same author

Statistical method for pooling categorical biomarker data from multi-center matched/nested case-control studies.

The international journal of biostatistics·2026
Same author

The association between PM<sub>2.5</sub> components and cognitive decline: the impact of measurement error correction.

Environmental research·2026
Same author

Prospective study of reproductive span and menopausal hormone therapy and cognitive decline over 8 years in the Nurses' Health Study.

Menopause (New York, N.Y.)·2026
Same author

Long-term adherence and changes in the Mediterranean and MIND diets in relation to dementia risk and cognitive function.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
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 new methods to analyze clustered binary data, estimating correlation and main effects. The proposed estimating function approach is computationally efficient and reliable for sparse data.

Area of Science:

  • Statistics
  • Biostatistics
  • Epidemiology

Background:

  • Clustered binary data presents unique analytical challenges.
  • Accurate estimation of intra-cluster correlation and main effects is crucial for understanding health disparities.
  • Existing methods may not be optimal for sparse clustered binary data.

Purpose of the Study:

  • To extend the Mantel-Haenszel estimating function for sparse clustered binary data.
  • To propose and evaluate both composite likelihood and estimating function approaches.
  • To provide reliable statistical tools for analyzing health survey data.

Main Methods:

  • Extension of the Mantel-Haenszel estimating function.
  • Development of a composite likelihood approach.

Related Experiment Videos

  • Development of an estimating function approach.
  • Asymptotic properties including consistency and normality were established.

    • Main Results:

    • Both proposed methods provide consistent and asymptotically normal estimators.
    • The composite likelihood and estimating function approaches are comparable in bias and efficiency.
    • The estimating function approach offers computational simplicity.

    Conclusions:

    • The extended Mantel-Haenszel framework is effective for sparse clustered binary data.
    • The estimating function approach is recommended due to its computational advantages.
    • These methods can be applied to real-world health survey data, such as the Georgia High Blood Pressure survey.