2017
Bayesian Joint Modelling of Longitudinal Data on Abstinence, Frequency and Intensity of Drinking in Alcoholism Trials
Buta E, O’Malley S, Gueorguieva R. Bayesian Joint Modelling of Longitudinal Data on Abstinence, Frequency and Intensity of Drinking in Alcoholism Trials. Journal Of The Royal Statistical Society Series A (Statistics In Society) 2017, 181: 869-888. PMID: 31123390, PMCID: PMC6527419, DOI: 10.1111/rssa.12334.Peer-Reviewed Original ResearchBayesian joint modellingParameter estimate biasStandard frequentist approachRandom effectsLog-normal modelJoint modelFrequentist approachBayesian approachMean squared errorJoint modellingEstimate biasIntensity of drinkingSimulation studyFrequency of drinkingSeparate modellingModellingLongitudinal outcomesClinical trialsSame subjectsSustained abstinenceModelLogistic partAbstinence
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