Modelling correlated bivariate binary data: a comparative view
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Publication:2089360
DOI10.1007/s40840-022-01290-4zbMath1496.62112OpenAlexW4280598873MaRDI QIDQ2089360
Azmeri Khan, M. Ataharul Islam, Jahida Gulshan
Publication date: 6 October 2022
Published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40840-022-01290-4
Multivariate analysis (62H99) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Cites Work
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- Longitudinal data analysis using generalized linear models
- A bivariate binary model for testing dependence in outcomes
- Prediction of disease status: a regressive model approach for repeated measures
- A higher order Markov model for analyzing covariate dependence
- Working correlation structure selection in generalized estimating equations
- Working correlation structure selection in GEE analysis
- Consistent selection of working correlation structure in GEE analysis based on Stein's loss function
- Regressive Logistic Models for Familial Disease and Other Binary Traits
- Correlated Binary Regression with Covariates Specific to Each Binary Observation
- Logistic Regression for Dependent Binary Observations
- Modelling multivariate binary data with alternating logistic regressions
- Logistic regression for autocorrelated data with application to repeated measures
- Constructing First Order Stationary Autoregressive Models via Latent Processes
- Analysis of Repeated Measures Data
- A generalized bivariate Bernoulli model with covariate dependence
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