Modelling correlated bivariate binary data: a comparative view
type: Item
instance of: scholarly article
title: Modelling correlated bivariate binary data: a comparative view
zbMATH Open document ID: 1496.62112
author: Jahida Gulshan
author: Azmeri Khan
author: M. Ataharul Islam
published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series
publication date: 2022-10-06T00:00:00Z
Mathematics Subject Classification ID: 62H99
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7597490
zbMATH Keywords: bivariate binary outcomes
zbMATH Keywords: marginal model
zbMATH Keywords: conditional model
zbMATH Keywords: marginal conditional model
MaRDI profile type: Publication
full work available at URL: s40840-022-01290-4
OpenAlex ID: W4280598873
cites work: Logistic regression for autocorrelated data with application to repeated measures
cites work: Regressive Logistic Models for Familial Disease and Other Binary Traits
cites work: Logistic Regression for Dependent Binary Observations
cites work: Modelling multivariate binary data with alternating logistic regressions
cites work: Q4792070
cites work: Q4826782
cites work: Working correlation structure selection in generalized estimating equations
cites work: Consistent selection of working correlation structure in GEE analysis based on Stein's loss function
cites work: A generalized bivariate Bernoulli model with covariate dependence
cites work: Analysis of Repeated Measures Data
cites work: Prediction of disease status: a regressive model approach for repeated measures
cites work: A bivariate binary model for testing dependence in outcomes
cites work: A higher order Markov model for analyzing covariate dependence
cites work: Longitudinal data analysis using generalized linear models
cites work: Working correlation structure selection in GEE analysis
cites work: Constructing First Order Stationary Autoregressive Models via Latent Processes
cites work: Correlated Binary Regression with Covariates Specific to Each Binary Observation
cites work: Q4044015
cites work: Q3221234
DOI: 10.1007/S40840-022-01290-4
description: scientific article; zbMATH DE number 7597490