A pairwise likelihood approach to analyzing correlated binary data
type: Item
instance of: scholarly article
title: A pairwise likelihood approach to analyzing correlated binary data
zbMATH Open document ID: 0973.62056
DOI: 10.1016/S0167-7152(99)00174-1
author: Anthony Yung Cheung Kuk
author: David J. Nott
published in: Statistics \& Probability Letters
publication date: 2001-12-05T00:00:00Z
Mathematics Subject Classification ID: 62J99
zbMATH DE Number: 1448739
zbMATH Keywords: alternating logistic regression
zbMATH Keywords: composite likelihood
zbMATH Keywords: generalized estimating equations
zbMATH Keywords: marginal models
zbMATH Keywords: odds ratio
zbMATH Keywords: pairwise likelihood
MaRDI profile type: Publication
cites work: Modelling multivariate binary data with alternating logistic regressions
cites work: Approximate likelihood ratios for general estimating functions
cites work: A Composite Likelihood Approach to Binary Spatial Data
cites work: Logistic Regression for Correlated Binary Data
cites work: Q4203243
cites work: Statistical Inference from Stochastic Processes
cites work: Estimating Equations for Measures of Association between Repeated Binary Responses
cites work: Pairwise likelihood methods for inference in image models
cites work: Models for Longitudinal Data: A Generalized Estimating Equation Approach
full work available at URL: s0167-7152(99)00174-1
OpenAlex ID: W2092237796
description: scientific article; zbMATH DE number 1448739