grant
Statistical methodology development for reproductive and perinatal epidemiology
Organization EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENTLocation UNITED STATES
NIHUS FederalResearch GrantFY2025Accuracy of DiagnosisAgreementBayesian AnalysisBayesian ModelingBayesian adaptive designsBayesian adaptive modelsBayesian belief networkBayesian belief updating modelBayesian computationBayesian frameworkBayesian hierarchical modelBayesian inferenceBayesian network analysisBayesian network modelBayesian nonparametric modelsBayesian spatial analysisBayesian spatial data modelBayesian spatial image modelsBayesian spatial modelsBayesian statistical analysisBayesian statistical inferenceBayesian statistical modelsBayesian statisticsBayesian tracking algorithmsChemicalsData AnalysesData AnalysisData SetDevelopmentEpidemiologic ResearchEpidemiologic StudiesEpidemiological StudiesEpidemiology ResearchGoalsMeasurementMethodologyMethodsModelingNICHDNational Institute of Child Health and Human DevelopmentNational Institutes of HealthPerinatal EpidemiologyStatistical MethodsUnited States National Institutes of Healthdata interpretationdevelopmentaldiagnostic accuracyepidemiologic investigationepidemiology studyhigh dimensional datamultidimensional datamultidimensional datasetsnovelprenatalpublic health researchreproductive developmentstatistic methodsunborn
Description preview
The overall goal of this study is to develop new and novel statistical methods for pre- and perinatal epidemiological investigations. These new methods are generally motivated by real data analyses within NICHD and NIH and can be applied more broadly to other similar datasets in public health research arena. The study consists of developments in…
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