Featured Publications
Bayesian spatial–temporal model for cardiac congenital anomalies and ambient air pollution risk assessment
Warren J, Fuentes M, Herring A, Langlois P. Bayesian spatial–temporal model for cardiac congenital anomalies and ambient air pollution risk assessment. Environmetrics 2012, 23: 673-684. PMID: 23482298, PMCID: PMC3589577, DOI: 10.1002/env.2174.Peer-Reviewed Original ResearchPrior distributionData settingMultivariate kernelSimulation study resultsMore standard modelsBayesian spatial-temporal modelsCompetitor modelsStandard modelSpatial domainModel outputSpatial-temporal modelSpaceMultivariate probit regression modelGreater flexibilityModelProbit regression modelKernelDistributionContinuous mannerTerms
2024
A scaled kernel density estimation prior for dynamic borrowing of historical information with application to clinical trial design
Warren J, Wang Q, Ciarleglio M. A scaled kernel density estimation prior for dynamic borrowing of historical information with application to clinical trial design. Statistics In Medicine 2024, 43: 1615-1626. PMID: 38345148, DOI: 10.1002/sim.10032.Peer-Reviewed Original ResearchEstimation of parametersApproximate probability density functionKernel density estimationPosterior samplesSimulation studyDynamic borrowingDistribution elicitationDensity estimationParameter estimationProbability density functionPriorsBayesian analysisDensity functionFlexible alternativeEstimationDetect associationsDistribution