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
2018
Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence
Zhang H, Liu D, Zhao J, Bi X. Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence. The Annals Of Applied Statistics 2018, 12: 2359-2378. PMID: 30666272, PMCID: PMC6338437, DOI: 10.1214/18-aoas1156.Peer-Reviewed Original ResearchFull likelihoodComplicated likelihood functionsParametric frameworkParametric modeling frameworkHigh computational complexityExtensive simulation studyModel fitting algorithmStatistical inferenceRank-based methodLikelihood functionComputational burdenType I error ratesComputational complexityFitting algorithmSimulation studyNovel multivariate modelModeling frameworkEffect size estimationLatent variablesHybrid modelInferenceSize estimationModelFrameworkTheorySubtype classification and heterogeneous prognosis model construction in precision medicine
You N, He S, Wang X, Zhu J, Zhang H. Subtype classification and heterogeneous prognosis model construction in precision medicine. Biometrics 2018, 74: 814-822. PMID: 29359319, DOI: 10.1111/biom.12843.Peer-Reviewed Original ResearchConceptsRegularization regressionVariable selectionHigh-dimensional predictorsNecessary statistical methodsVariable selection methodsExpectation-maximization algorithmOracle propertyPenalty parameterSemiparametric modelStatistical methodsParametric modelNumerical calculationsProper choiceModel constructionSelection methodGene expression datasetsModelEstimatorSubtype-specific risk factorsRegularizerSurvival probabilityHigh-throughput technologiesExpression datasetsAlgorithmSimulations
2016
Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO Method
Jiang Y, He Y, Zhang H. Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO Method. Journal Of The American Statistical Association 2016, 111: 355-376. PMID: 27217599, PMCID: PMC4874534, DOI: 10.1080/01621459.2015.1008363.Peer-Reviewed Original ResearchLeast angle regressionGeneralized linear modelPrior informationExtension of LassoLinear modelPopular statistical toolWhole solution pathAsymptotic theoryAngle regressionEstimate parametersVariable selectionSolution pathStatistical toolsCriterion functionLASSOLASSO methodReal dataSimulation resultsGreater robustnessVariables of interestMisspecificationEstimatorModelBiomedical studiesVariables
2011
Statistical Inference in Mixed Models and Analysis of Twin and Family Data
Wang X, Guo X, He M, Zhang H. Statistical Inference in Mixed Models and Analysis of Twin and Family Data. Biometrics 2011, 67: 987-995. PMID: 21306354, PMCID: PMC3129472, DOI: 10.1111/j.1541-0420.2010.01548.x.Peer-Reviewed Original ResearchConceptsStandard regularity conditionsStatistical inferenceAsymptotic distributionRegularity conditionsSufficient conditionsCholesky decompositionLikelihood ratio testComputational softwareLinear modelAdvanced theoryFamily data analysisImportant exampleRatio testFamily dataKey ideaPrecise estimatesMixed-effects modelsTheoryMixed effects modelsData setsIdentifiabilityModelEstimatesMixed modelsGeneral linear model
2004
Mixed effects multivariate adaptive splines model for the analysis of longitudinal and growth curve data
Zhang H. Mixed effects multivariate adaptive splines model for the analysis of longitudinal and growth curve data. Statistical Methods In Medical Research 2004, 13: 63-82. PMID: 14746441, DOI: 10.1191/0962280204sm353ra.Peer-Reviewed Original Research
2003
Hypothesis testing in mixture regression models
Zhu H, Zhang H. Hypothesis testing in mixture regression models. Journal Of The Royal Statistical Society Series B (Statistical Methodology) 2003, 66: 3-16. DOI: 10.1046/j.1369-7412.2003.05379.x.Peer-Reviewed Original ResearchMixture regression modelLikelihood estimatorTest statisticLog-likelihood ratio test statisticOptimal convergence ratesMaximum likelihoodRatio test statisticAsymptotic theoryReal data setsAsymptotic distributionConvergence rateTheoretical resultsEmpirical performanceReasonable conditionsSimulation studyHypothesis testingEstimatorStatisticsData setsRegression modelsModelTheoryDistribution