2023
Statistical Methodologies for Analyzing Genomic Data
Duan F, Zhang H. Statistical Methodologies for Analyzing Genomic Data. Springer Handbooks 2023, 621-634. DOI: 10.1007/978-1-4471-7503-2_32.Peer-Reviewed Original ResearchLinear discriminant analysisEmpirical Bayesian approachDifferent clustering methodsModel-based clusteringNeural networkStatistical methodologyK-meansVector machineMicroarray data analysisColon cancer datasetBayesian approachClassification methodRand indexStatistical issuesClustering methodMultiple comparison issuesMicroarray dataCancer datasetsComparison issuesHierarchical clusteringT-statisticAlgorithmClassificationClusteringGenomic data
2020
Relative Efficiency of Using Summary Versus Individual Data in Random-Effects Meta-Analysis
Chen D, Liu D, Min X, Zhang H. Relative Efficiency of Using Summary Versus Individual Data in Random-Effects Meta-Analysis. Biometrics 2020, 76: 1319-1329. PMID: 32056197, PMCID: PMC7955582, DOI: 10.1111/biom.13238.Peer-Reviewed Original ResearchConceptsMaximum likelihood estimationSummary statisticsAsymptotic senseStatistical methodologyLikelihood estimationGaussian distributionInference settingHeterogeneity parametersRelative efficiencyRandom effectsSample sizeStatisticsInferenceData setsModelEfficient conclusionsEstimationIndividual participant dataAssumptionParametersEfficiency
2006
Statistical Methodologies for Analyzing Genomic Data
Duan F, Zhang H. Statistical Methodologies for Analyzing Genomic Data. Springer Handbooks 2006, 607-621. DOI: 10.1007/978-1-84628-288-1_33.Peer-Reviewed Original ResearchLinear discriminant analysisDifferent clustering methodsEmpirical Bayesian approachModel-based clusteringNeural networkK-meansVector machineMicroarray data analysisColon cancer datasetClassification methodRand indexStatistical methodologyClustering methodBayesian approachMicroarray dataStatistical issuesMultiple comparison issuesComparison issuesHierarchical clusteringT-statisticAlgorithmClassificationClusteringGenomic dataClassification analysis