2019
Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension
Liu M, Sun J, Herazo-Maya JD, Kaminski N, Zhao H. Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension. Statistics In Biosciences 2019, 11: 614-629. PMID: 33281995, PMCID: PMC7717673, DOI: 10.1007/s12561-019-09256-0.Peer-Reviewed Original ResearchLCox: a tool for selecting genes related to survival outcomes using longitudinal gene expression data
Sun J, Herazo-Maya JD, Wang JL, Kaminski N, Zhao H. LCox: a tool for selecting genes related to survival outcomes using longitudinal gene expression data. Statistical Applications In Genetics And Molecular Biology 2019, 18: 20170060. PMID: 30759070, DOI: 10.1515/sagmb-2017-0060.Peer-Reviewed Original ResearchPredicting the Risk of Huntington’s Disease with Multiple Longitudinal Biomarkers
Li F, Li K, Li C, Luo S, Group P. Predicting the Risk of Huntington’s Disease with Multiple Longitudinal Biomarkers. Journal Of Huntington's Disease 2019, 8: 323-332. PMID: 31256145, PMCID: PMC6718328, DOI: 10.3233/jhd-190345.Peer-Reviewed Original ResearchConceptsEnroll-HDRisk of Huntington's diseasePREDICT-HDRisk of HDMultiple longitudinal markersTime to diagnosisHuntington's diseasePatient's risk categoryPrognostic indexPrognostic scorePrognostic modelHD diagnosisRisk predictionPublic health threatCox modelRisk categoriesLongitudinal measurementsHealth threatRiskLongitudinal biomarkersScoresBiomarker measurementsPatient selectionClinical trialsClinical biomarkers
2018
Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome
Sun J, Herazo-Maya J, Molyneaux PL, Maher TM, Kaminski N, Zhao H. Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome. Biometrics 2018, 75: 69-77. PMID: 30178494, DOI: 10.1111/biom.12964.Peer-Reviewed Original ResearchConceptsJoint latent class modelLongitudinal biomarkersExtensive simulation studyLatent class modelLongitudinal submodelJoint modeling methodSurvival submodelLikelihood approachSimulation studyClass modelEvent outcomesLatent classesModeling methodMembership modelRandom effectsModeling approachClassSubmodelsJoint analysisModelBootstrapUnique trajectoriesNovel biological insightsInference
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