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
2016
A Statistical Model to Analyze Clinician Expert Consensus on Glaucoma Progression using Spatially Correlated Visual Field Data
Warren JL, Mwanza JC, Tanna AP, Budenz DL. A Statistical Model to Analyze Clinician Expert Consensus on Glaucoma Progression using Spatially Correlated Visual Field Data. Translational Vision Science & Technology 2016, 5: 14-14. PMID: 27622079, PMCID: PMC5017314, DOI: 10.1167/tvst.5.4.14.Peer-Reviewed Original ResearchStatistical modelSpatial probit regression modelsDeviance information criterionModel selection metricsBayesian settingSimulation study resultsModel parametersInformation criterionSpatial modelingCorrelated sensitivityNew methodologySingle frameworkSelection metricsField dataModelProbit regression modelInferenceEstimationVF locationsRegression modelsModelingPredictive abilityNumber of areas