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

Random-effects models for serial observations with binary response.

R Stiratelli, N Laird, J H Ware

    Biometrics
    |December 1, 1984
    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

    Polygenic risk for schizophrenia and neurocognitive performance in patients with schizophrenia.

    Genes, brain, and behavior·2017
    Same author

    Effects of proton radiation dose, dose rate and dose fractionation on hematopoietic cells in mice.

    Radiation research·2010
    Same author

    Work pattern causes bias in self-reported activity duration: a randomised study of mechanisms and implications for exposure assessment and epidemiology.

    Occupational and environmental medicine·2008
    Same author

    Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929).

    Statistics in medicine·2007
    Same author

    Evidence for an association of the dopamine D5 receptor gene on age at onset of attention deficit hyperactivity disorder.

    Annals of human genetics·2007
    Same author

    Countermeasures against space radiation induced oxidative stress in mice.

    Radiation and environmental biophysics·2007
    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 a mixed model for analyzing repeated binary outcomes in panel data. The novel approach utilizes an approximate maximum likelihood estimation for enhanced data utilization in logistic regression analysis.

    Area of Science:

    • Biostatistics
    • Statistical Modeling
    • Longitudinal Data Analysis

    Background:

    • Panel studies generate serial dichotomous responses.
    • Analyzing such data requires models accounting for subject-specific variations.
    • Existing methods may not utilize all available data.

    Purpose of the Study:

    • To present a general mixed model for serial dichotomous responses.
    • To develop an approximate maximum likelihood estimation method for this model.
    • To compare the proposed method with existing approaches.

    Main Methods:

    • A general mixed model assuming logistic regression with varying coefficients.
    • Normal distribution assumption for population-level regression parameters.
    • Approximate maximum likelihood estimation using the EM algorithm and posterior mode.

    Related Experiment Videos

    Main Results:

    • The proposed method allows using all data, unlike the Korn and Whittemore method.
    • The new estimation strategy is computationally intensive.
    • Comparison with a two-step method using asthmatics panel data.

    Conclusions:

    • The developed mixed model offers a flexible framework for serial dichotomous data.
    • The approximate estimation method enhances data inclusivity in panel studies.
    • Computational intensity is a trade-off for improved data utilization.