{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gu Y"],"funding":["NIDCR NIH HHS"],"pagination":["551-572"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8963777"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16(1)"],"pubmed_abstract":["Community water fluoridation is an important component of oral health promotion, as fluoride exposure is a well-documented dental caries-preventive agent. Direct measurements of domestic water fluoride content provide valuable information regarding individuals' fluoride exposure and thus caries risk; however, they are logistically challenging to carry out at a large scale in oral health research. This article describes the development and evaluation of a novel method for the imputation of missing domestic water fluoride concentration data informed by spatial autocorrelation. The context is a state-wide epidemiologic study of pediatric oral health in North Carolina, where domestic water fluoride concentration information was missing for approximately 75% of study participants with clinical "],"journal":["The annals of applied statistics"],"pubmed_title":["PARTITIONING AROUND MEDOIDS CLUSTERING AND RANDOM FOREST CLASSIFICATION FOR GIS-INFORMED IMPUTATION OF FLUORIDE CONCENTRATION DATA."],"pmcid":["PMC8963777"],"funding_grant_id":["U01 DE025046"],"pubmed_authors":["Shah M","Ginnis J","Divaris K","Preisser JS","Gu Y","Simancas-Pallares MA","Shrestha P","Zeng D"],"additional_accession":[]},"is_claimable":false,"name":"PARTITIONING AROUND MEDOIDS CLUSTERING AND RANDOM FOREST CLASSIFICATION FOR GIS-INFORMED IMPUTATION OF FLUORIDE CONCENTRATION DATA.","description":"Community water fluoridation is an important component of oral health promotion, as fluoride exposure is a well-documented dental caries-preventive agent. Direct measurements of domestic water fluoride content provide valuable information regarding individuals' fluoride exposure and thus caries risk; however, they are logistically challenging to carry out at a large scale in oral health research. This article describes the development and evaluation of a novel method for the imputation of missing domestic water fluoride concentration data informed by spatial autocorrelation. The context is a state-wide epidemiologic study of pediatric oral health in North Carolina, where domestic water fluoride concentration information was missing for approximately 75% of study participants with clinical ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-19T00:40:59.562Z","creation":"2025-04-07T11:45:03.826Z"},"accession":"S-EPMC8963777","cross_references":{"pubmed":["35356492"],"doi":["10.1214/21-aoas1516"]}}