Easily simulated multivariate binary distributions with given positive and negative correlations
type: Item
instance of: scholarly article
title: Easily simulated multivariate binary distributions with given positive and negative correlations
zbMATH Open document ID: 1452.62105
author: Samuel D. Oman
published in: Computational Statistics and Data Analysis
publication date: 2010-03-30T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62H10
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 5687820
MaRDI profile type: Publication
full work available at URL: j.csda.2008.11.017
OpenAlex ID: W1976369416
cites work: Q3287649
cites work: Block designs with block size two
cites work: Q4313087
cites work: Efficiency of Generalized Estimating Equations for Binary Responses
cites work: Range of correlation matrices for dependent Bernoulli random variables
cites work: On the use of a working correlation matrix in using generalised linear models for repeated measures
cites work: Generating correlated binary variables with complete specification of the joint distribution
cites work: Longitudinal data analysis using generalized linear models
cites work: Miscellanea. A note on generating correlated binary variables
cites work: Construction of Optimal Block Designs by Computer
cites work: Modelling and generating correlated binary variables
cites work: Correlated Binary Regression with Covariates Specific to Each Binary Observation
cites work: A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
cites work: Generalization of the Mantel-Haenszel Estimating Function for Sparse Clustered Binary Data
cites work: Adaptive Design and Estimation in Randomized Clinical Trials with Correlated Observations
cites work: Population estimation using the multiple system estimator in the presence of continuous covariates
DOI: 10.1016/J.CSDA.2008.11.017
description: scientific article; zbMATH DE number 5687820