Featured Publications
Set‐based tests for genetic association in longitudinal studies
He Z, Zhang M, Lee S, Smith J, Guo X, Palmas W, Kardia S, Diez Roux A, Mukherjee B. Set‐based tests for genetic association in longitudinal studies. Biometrics 2015, 71: 606-615. PMID: 25854837, PMCID: PMC4601568, DOI: 10.1111/biom.12310.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisGenome-wide association studiesJoint effect of multiple variantsLinkage disequilibriumAssociation studiesEffects of multiple variantsMarkers of chronic diseaseGenetic variantsSet-based testGene-based testsLongitudinal outcomesMulti-Ethnic StudyGenetic association studiesStudy of AtherosclerosisChronic diseasesPhenotypic variationGenetic associationObservational studyLongitudinal analysisWithin-subject correlationMultiple variantsScore type testsJoint testJoint effectsMarker tests
2022
Estimating COVID-19 Vaccination and Booster Effectiveness Using Electronic Health Records From an Academic Medical Center in Michigan
Roberts E, Gu T, Wagner A, Mukherjee B, Fritsche L. Estimating COVID-19 Vaccination and Booster Effectiveness Using Electronic Health Records From an Academic Medical Center in Michigan. AJPM Focus 2022, 1: 100015. PMID: 36942016, PMCID: PMC9323299, DOI: 10.1016/j.focus.2022.100015.Peer-Reviewed Original ResearchIntensive care unit admissionElectronic health record dataHealth record dataElectronic health recordsMedical CenterUnit admissionAcademic medical centerOdds of vaccinationHealth recordsSevere COVID-19 outcomesAffluent areasHealthcare workersStudy designRecord dataCalendar quarterCOVID-19COVID-19 outcomesDisease overallUniversity of Michigan Medical CenterObservational studySevere COVID-19SARS-CoV-2 infectionVaccine effectivenessBooster statusOngoing surveillance
2021
A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome
Yu Y, Zhang M, Shi X, Caram M, Little R, Mukherjee B. A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome. Statistics In Medicine 2021, 40: 1653-1677. PMID: 33462862, DOI: 10.1002/sim.8862.Peer-Reviewed Original ResearchConceptsComparative effectiveness researchEstimation of causal effectsPropensity score-based methodsBinary outcomesInsurance networksCausal effectsPropensity score methodsPropensity-based methodsConfounding biasContinuous outcomesPharmacy claimsEffectiveness researchObservational studySimulation studyAdverse outcomesPropensity scoreEmergency room
2014
A data-adaptive strategy for inverse weighted estimation of causal effects
Zhu Y, Ghosh D, Mitra N, Mukherjee B. A data-adaptive strategy for inverse weighted estimation of causal effects. Health Services And Outcomes Research Methodology 2014, 14: 69-91. DOI: 10.1007/s10742-014-0124-y.Peer-Reviewed Original ResearchEstimation of causal effectsData analysis examplesAverage treatment effectNonparametric modelSimulation studyTheoretical resultsPropensity scoreEffect of confoundersMeasured covariatesWeight estimationCausal effectsNonrandomized observational studyTreatment effectsLogistic regressionObservational studyAnalysis exampleRandomized trialsConfoundingExamplesScoresCovariatesInferenceEstimation