2005
Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes
Gueorguieva RV. Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes. Biometrics 2005, 61: 862-866. PMID: 16135040, DOI: 10.1111/j.1541-020x.2005.00409_1.x.Peer-Reviewed Original ResearchConceptsCluster sizeJoint modelingContinuous response variablesMaximum likelihood estimatesCluster-level random effectsMaximum likelihood approachData examplesPrior specificationBayesian approachLikelihood estimatesGeneral situationAlternative parameterizationsStandard softwareRandom effectsGeneral modelResponse variablesCluster-level factorsBest fitDunsonExtensive programmingData setsEstimatesModelingModelInference
2001
A multivariate generalized linear mixed model for joint modelling of clustered outcomes in the exponential family
Gueorguieva R. A multivariate generalized linear mixed model for joint modelling of clustered outcomes in the exponential family. Statistical Modelling 2001, 1: 177-193. DOI: 10.1177/1471082x0100100302.Peer-Reviewed Original ResearchExponential familyMonte Carlo EM algorithmJoint multivariate normal distributionGeneralized linear mixed modelMultivariate normal distributionMaximum likelihood estimation approachRandom effectsMultivariate caseData examplesMultivariate generalizationEM algorithmJoint modellingMultiple outcome variablesRestrictive assumptionsEstimation approachMeasures dataNormal distributionLinear mixed modelsMore variablesScore testMixed modelsSingle modelData setsAssumptionQuadrature