2011
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia
Hoffman RE, Grasemann U, Gueorguieva R, Quinlan D, Lane D, Miikkulainen R. Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia. Biological Psychiatry 2011, 69: 997-1005. PMID: 21397213, PMCID: PMC3105006, DOI: 10.1016/j.biopsych.2010.12.036.Peer-Reviewed Original ResearchMeSH KeywordsAdultCognition DisordersComputer SimulationFemaleHumansMaleMental RecallMiddle AgedModels, BiologicalSchizophreniaConceptsPrediction-error signallingStory recall taskIllness mechanismsEpisodic memoryRecall taskAssociated emotionsNarrative memoryNarrative languageDopamine neuromodulationDisparate symptomsNarrative understandingHealthy control subjectsDisorganized speechMemorySchizoaffective disorderComputational modelNeural network modelParental educationSchizophreniaCrime storiesPrediction errorDelusionsControl subjectsEmotionsNetwork model
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 ResearchMeSH KeywordsAnimalsBayes TheoremCluster AnalysisEmbryonic DevelopmentEthylene GlycolFemaleMiceModels, BiologicalModels, StatisticalPregnancySoftwareConceptsCluster 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