Featured Publications
Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons
Clark-Boucher D, Zhou X, Du J, Liu Y, Needham B, Smith J, Mukherjee B. Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons. PLOS Genetics 2023, 19: e1011022. PMID: 37934796, PMCID: PMC10655967, DOI: 10.1371/journal.pgen.1011022.Peer-Reviewed Original ResearchConceptsBayesian Sparse Linear Mixed ModelMediation analysisHigh-dimensional mediation analysisMulti-ethnic cohortEpigenetic researchHealth outcomesHigh-dimensional DNA methylation dataLinear mixed modelsDNA methylation dataContinuous outcomesEvaluate DNA methylationDNA methylationMethylation dataDNAm dataMixed modelsDiverse simulationsSeamless implementationModern statistical methodsMediation effectR packageUnited StatesOutcomes
2019
Bayesian Shrinkage Estimation of High Dimensional Causal Mediation Effects in Omics Studies
Song Y, Zhou X, Zhang M, Zhao W, Liu Y, Kardia S, Roux A, Needham B, Smith J, Mukherjee B. Bayesian Shrinkage Estimation of High Dimensional Causal Mediation Effects in Omics Studies. Biometrics 2019, 76: 700-710. PMID: 31733066, PMCID: PMC7228845, DOI: 10.1111/biom.13189.Peer-Reviewed Original ResearchConceptsMediation analysisEffect of socioeconomic statusPotential mediatorsMulti-Ethnic StudyCausal mediation analysisCardiometabolic outcomesDNA methylation regionsSocioeconomic statusHigh-throughput technologiesMediation effectGenomic dataEpidemiological dataMethylation regionsHigh-dimensional mediatorsBayesian inference methodsContinuous shrinkage priorsHigh-dimensional settingsBayesian shrinkage estimatorsJoint analysisOutcomesShrinkage priorsPathwayNull caseInference methodsBiomedical studies