2019
Synthetic data method to incorporate external information into a current study
Gu T, Taylor J, Cheng W, Mukherjee B. Synthetic data method to incorporate external information into a current study. Canadian Journal Of Statistics 2019, 47: 580-603. PMID: 32773922, PMCID: PMC7410329, DOI: 10.1002/cjs.11513.Peer-Reviewed Original ResearchSynthetic data methodsDataset of sizeSynthetic data approachB modelMaximum likelihood estimation approachAsymptotic varianceGeneral regression contextSize nRegression contextSimulation studyVariable BEstimation approachDiverse scenariosCancer Prevention TrialExternal informationIndividual level dataDatasetProstate Cancer Prevention TrialPrevention trials
2014
The Role of Environmental Heterogeneity in Meta‐Analysis of Gene–Environment Interactions With Quantitative Traits
Li S, Mukherjee B, Taylor J, Rice K, Wen X, Rice J, Stringham H, Boehnke M. The Role of Environmental Heterogeneity in Meta‐Analysis of Gene–Environment Interactions With Quantitative Traits. Genetic Epidemiology 2014, 38: 416-429. PMID: 24801060, PMCID: PMC4108593, DOI: 10.1002/gepi.21810.Peer-Reviewed Original ResearchMeSH KeywordsAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiasBody Mass IndexCase-Control StudiesCholesterol, HDLCohort StudiesDiabetes Mellitus, Type 2Gene FrequencyGene-Environment InteractionGenetic Predisposition to DiseaseHumansMeta-Analysis as TopicModels, GeneticPhenotypePolymorphism, Single NucleotideProteinsQuantitative Trait, HeritableConceptsIndividual level dataMeta-analysisInverse-variance weighted meta-analysisEnvironmental heterogeneityGene-environment interaction studiesInverse-variance weighted estimatorMeta-analysis of interactionsStudy of type 2 diabetesGene-environment interactionsBody mass indexMeta-regression approachSingle nucleotide polymorphismsAdaptive weighted estimatorFTO geneType 2 diabetesMass indexMeta-regressionQuantitative traitsSummary statisticsCholesterol dataNucleotide polymorphismsLevel dataUnivariate summary statisticsData harmonizationEnvironmental covariates