A pairwise likelihood approach to analyzing correlated binary data

From MaRDI portal
Publication:1977629

DOI10.1016/S0167-7152(99)00174-1zbMath0973.62056OpenAlexW2092237796MaRDI QIDQ1977629

David J. Nott, Anthony Y. C. Kuk

Publication date: 5 December 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(99)00174-1




Related Items (34)

Pairwise likelihood estimation for the normal ogive model with binary dataSequential Monte Carlo EM for multivariate probit modelsPairwise likelihood inference for the random effects probit modelOrthogonalized Residuals for Estimation of Marginally Specified Association Parameters in Multivariate Binary DataSemiparametric estimation in generalized linear mixed models with auxiliary covariates: A pairwise likelihood approachDeletion diagnostics for alternating logistic regressionsAberrant Crypt Foci and Semiparametric Modeling of Correlated Binary DataGeneral mixed-data model: Extension of general location and grouped continuous modelsPseudo-Likelihoods for Bayesian InferenceA composite likelihood approach for spatially correlated survival dataComposite likelihood estimation for models of spatial ordinal data and spatial proportional data with zero/one valuesEstimation in the presence of many nuisance parameters: composite likelihood and plug-in likelihoodMissing covariate data in generalized linear mixed models with distribution-free random effectsInferences for odds ratio with dependent pairsMultilevel Latent Class Models with Dirichlet Mixing DistributionUnnamed ItemA robust pairwise likelihood method for incomplete longitudinal binary data arising in clustersA pairwise likelihood approach to estimation in multilevel probit modelsPairwise- and marginal-likelihood estimation for the mixed Rasch model with binary dataPairwise likelihood inference in spatial generalized linear mixed modelsPairwise likelihood for the longitudinal mixed Rasch modelThe AU algorithm for estimating equations in the presence of missing dataAn approximately optimal non-parametric procedure for analyzing exchangeable binary data with random cluster sizesComposite Conditional Likelihood for Sparse Clustered DataOn composite marginal likelihoodsOn weighting of bivariate margins in pairwise likelihoodA Pairwise Likelihood Procedure for Analyzing Exchangeable Binary Data with Random Cluster SizesGeneralization of the Mantel-Haenszel Estimating Function for Sparse Clustered Binary DataA note on empirical likelihoods derived from pairwise score functionsPairwise marginal likelihood for the Bradley-Terry modelA Distributed and Integrated Method of Moments for High-Dimensional Correlated Data AnalysisOn composite likelihood estimation of a multivariate INAR(1) modelPairwise likelihood approach to grouped continuous model and its extensionComposite Likelihood Estimation for Multivariate Probit Latent Traits Models



Cites Work


This page was built for publication: A pairwise likelihood approach to analyzing correlated binary data