Search results for "Besag-Newell"

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Methods of spatial cluster detection in rare childhood cancers: Benchmarking data and results from a simulation study on nephroblastoma

2021

Abstract The potential existence of spatial clusters in childhood cancer incidence is a debated topic. Identification of rare disease clusters in general may help to better understand disease etiology and develop preventive strategies against such entities. The incidence of newly diagnosed childhood malignancies under 15 years of age is 140/1,000,000. In this context, the subgroup of nephroblastoma represents an extremely rare entity with an annual incidence of 7/1,000,000. We evaluated widely used statistical approaches for spatial cluster detection in childhood cancer (Ref. [22] Schundeln et al., 2021, Cancer Epidemiology). For the simulation study, random high risk clusters of 1 to 50 ad…

Simulation studyComputer scienceScan statisticBayesian probabilityMedizinContext (language use)lcsh:Computer applications to medicine. Medical informaticsBayesian03 medical and health sciences0302 clinical medicineRandom distributionStatisticsCluster analysislcsh:Science (General)NephroblastomaData Article030304 developmental biology0303 health sciencesMultidisciplinaryBenchmarkingIdentification (information)Besag-NewellLaplace's methodSpatial clusterlcsh:R858-859.7Besag York MolliéRaw dataChildhood cancerSpatial scan statistic030217 neurology & neurosurgerylcsh:Q1-390Data in Brief
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