{"id":"https://openalex.org/W2796427993","doi":"https://doi.org/10.5334/dsj-2018-008","title":"Disparity of Imputed Data from Small Area Estimate Approaches \u2013 A Case Study on Diabetes Prevalence at the County Level in the U.S.","display_name":"Disparity of Imputed Data from Small Area Estimate Approaches \u2013 A Case Study on Diabetes Prevalence at the County Level in the U.S.","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2796427993","doi":"https://doi.org/10.5334/dsj-2018-008","mag":"2796427993"},"language":"en","primary_location":{"id":"doi:10.5334/dsj-2018-008","is_oa":true,"landing_page_url":"https://doi.org/10.5334/dsj-2018-008","pdf_url":"http://datascience.codata.org/articles/10.5334/dsj-2018-008/galley/747/download/","source":{"id":"https://openalex.org/S62969111","display_name":"Data Science Journal","issn_l":"1683-1470","issn":["1683-1470"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320511","host_organization_name":"Ubiquity Press","host_organization_lineage":["https://openalex.org/P4310320511"],"host_organization_lineage_names":["Ubiquity Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://datascience.codata.org/articles/10.5334/dsj-2018-008/galley/747/download/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036956641","display_name":"Lung-Chang Chien","orcid":"https://orcid.org/0000-0003-4515-0080"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lung-Chang Chien","raw_affiliation_strings":["University of Nevada, Las Vegas"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101444903","display_name":"Ge Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ge Lin","raw_affiliation_strings":["University of Nevada, Las Vegas"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375289","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0002-5508-8594"},"institutions":[{"id":"https://openalex.org/I4210094379","display_name":"University of Texas Health Science Center at Dallas","ror":"https://ror.org/00q16t150","country_code":"US","type":"education","lineage":["https://openalex.org/I4210094379"]},{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Li","raw_affiliation_strings":["University of Texas Health Science Center at Houston (UTHealth) School of Public Health"],"affiliations":[{"raw_affiliation_string":"University of Texas Health Science Center at Houston (UTHealth) School of Public Health","institution_ids":["https://openalex.org/I919571938","https://openalex.org/I4210094379"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064077991","display_name":"Xingyou Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1333512998","display_name":"United States Census Bureau","ror":"https://ror.org/01qn7cs15","country_code":"US","type":"funder","lineage":["https://openalex.org/I1333512998","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingyou Zhang","raw_affiliation_strings":["U.S. Census Bureau"],"affiliations":[{"raw_affiliation_string":"U.S. Census Bureau","institution_ids":["https://openalex.org/I1333512998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036956641"],"corresponding_institution_ids":["https://openalex.org/I133999245"],"apc_list":{"value":350,"currency":"GBP","value_usd":429},"apc_paid":{"value":350,"currency":"GBP","value_usd":429},"fwci":2.3343,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90499334,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/small-area-estimation","display_name":"Small area estimation","score":0.5974526405334473},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4873445928096771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44704723358154297},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.3487969636917114},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34625327587127686},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.343967080116272},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.3378778398036957},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32969599962234497},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3253629207611084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17688587307929993}],"concepts":[{"id":"https://openalex.org/C129963666","wikidata":"https://www.wikidata.org/wiki/Q17105857","display_name":"Small area estimation","level":3,"score":0.5974526405334473},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4873445928096771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44704723358154297},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.3487969636917114},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34625327587127686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.343967080116272},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.3378778398036957},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32969599962234497},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3253629207611084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17688587307929993},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.5334/dsj-2018-008","is_oa":true,"landing_page_url":"https://doi.org/10.5334/dsj-2018-008","pdf_url":"http://datascience.codata.org/articles/10.5334/dsj-2018-008/galley/747/download/","source":{"id":"https://openalex.org/S62969111","display_name":"Data Science Journal","issn_l":"1683-1470","issn":["1683-1470"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320511","host_organization_name":"Ubiquity Press","host_organization_lineage":["https://openalex.org/P4310320511"],"host_organization_lineage_names":["Ubiquity Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science Journal","raw_type":"journal-article"},{"id":"pmh:oai:digitalscholarship.unlv.edu:community_health_sciences_fac_articles-1249","is_oa":false,"landing_page_url":"https://digitalscholarship.unlv.edu/community_health_sciences_fac_articles/250","pdf_url":null,"source":{"id":"https://openalex.org/S4377196371","display_name":"Digital Scholarship - UNLV (University of Nevada Reno)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134113660","host_organization_name":"University of Nevada, Reno","host_organization_lineage":["https://openalex.org/I134113660"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Public Health Faculty Publications","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:857e072cacdf4c0abd77c303419cc569","is_oa":true,"landing_page_url":"https://doaj.org/article/857e072cacdf4c0abd77c303419cc569","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science Journal, Vol 17 (2018)","raw_type":"article"},{"id":"pmh:oai:oasis.library.unlv.edu:community_health_sciences_fac_articles-1249","is_oa":true,"landing_page_url":"https://oasis.library.unlv.edu/community_health_sciences_fac_articles/250","pdf_url":null,"source":{"id":"https://openalex.org/S4377196371","display_name":"Digital Scholarship - UNLV (University of Nevada Reno)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134113660","host_organization_name":"University of Nevada, Reno","host_organization_lineage":["https://openalex.org/I134113660"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"School of Public Health Faculty Research","raw_type":"article"},{"id":"pmh:oai:oasis.library.unlv.edu:env_occ_health_fac_articles-1314","is_oa":true,"landing_page_url":"https://oasis.library.unlv.edu/env_occ_health_fac_articles/315","pdf_url":null,"source":{"id":"https://openalex.org/S4377196371","display_name":"Digital Scholarship - UNLV (University of Nevada Reno)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134113660","host_organization_name":"University of Nevada, Reno","host_organization_lineage":["https://openalex.org/I134113660"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Environmental & Global Health Faculty Research","raw_type":"article"},{"id":"pmh:oai:ojs.datascience.codata.org:article/763","is_oa":true,"landing_page_url":"https://datascience.codata.org/jms/article/view/dsj-2018-008","pdf_url":null,"source":{"id":"https://openalex.org/S62969111","display_name":"Data Science Journal","issn_l":"1683-1470","issn":["1683-1470"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320511","host_organization_name":"Ubiquity Press","host_organization_lineage":["https://openalex.org/P4310320511"],"host_organization_lineage_names":["Ubiquity Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science Journal; Vol 17 (2018); 8","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-161563","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-161563","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.5334/dsj-2018-008","is_oa":true,"landing_page_url":"https://doi.org/10.5334/dsj-2018-008","pdf_url":"http://datascience.codata.org/articles/10.5334/dsj-2018-008/galley/747/download/","source":{"id":"https://openalex.org/S62969111","display_name":"Data Science Journal","issn_l":"1683-1470","issn":["1683-1470"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320511","host_organization_name":"Ubiquity Press","host_organization_lineage":["https://openalex.org/P4310320511"],"host_organization_lineage_names":["Ubiquity Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2796427993.pdf","grobid_xml":"https://content.openalex.org/works/W2796427993.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1985840524","https://openalex.org/W1992008368","https://openalex.org/W2004608082","https://openalex.org/W2027807585","https://openalex.org/W2033915346","https://openalex.org/W2113303970","https://openalex.org/W2121690841","https://openalex.org/W2144898279","https://openalex.org/W2181885597","https://openalex.org/W2189604681","https://openalex.org/W2311197002","https://openalex.org/W2469469338","https://openalex.org/W2511940628","https://openalex.org/W2562374624","https://openalex.org/W2582242977","https://openalex.org/W2614856259","https://openalex.org/W3191837404"],"related_works":["https://openalex.org/W3002907611","https://openalex.org/W1562146597","https://openalex.org/W2500514401","https://openalex.org/W138756022","https://openalex.org/W3014534970","https://openalex.org/W1514485070","https://openalex.org/W2185288456","https://openalex.org/W2077908717","https://openalex.org/W2131281165","https://openalex.org/W1585038714"],"abstract_inverted_index":{"<p":[0],"class=\"p1\">This":[1],"paper":[2],"assesses":[3],"concordance":[4],"and":[5,34,100,119,147],"inconsistency":[6],"among":[7,84,110],"three":[8,25,70,85,112],"small":[9,113],"area":[10,114],"estimation":[11],"methods":[12,26,71],"that":[13,68,132],"are":[14,27,107,124],"currently":[15],"providing":[16],"county-level":[17],"health":[18],"indicators":[19],"in":[20,49,76,142],"the":[21,50,55,77,80,92,98,111],"United":[22,52],"States.":[23],"The":[24,64],"multi-level":[28],"logistic":[29,32,102],"regression,":[30,33,37],"spatial":[31,35,101],"Poison":[36],"all":[38,69,89],"proposed":[39],"since":[40],"2010.":[41],"Diabetes":[42],"prevalence":[43,75],"is":[44],"estimated":[45],"for":[46],"each":[47,135],"county":[48],"continental":[51],"States":[53],"from":[54,134],"2012":[56],"sample":[57],"of":[58,121,144],"Behavioral":[59],"Risk":[60],"Factor":[61],"Surveillance":[62],"System.":[63],"mapping":[65],"results":[66],"show":[67],"displayed":[72],"elevated":[73],"diabetes":[74],"South.":[78],"While":[79,104],"Pearson":[81],"correlation":[82],"coefficients":[83],"model-based":[86],"estimates":[87,106],"were":[88],"above":[90],"0.60,":[91],"highest":[93],"one":[94],"was":[95],"0.80":[96],"between":[97],"multilevel":[99],"methods.":[103],"point":[105],"apparently":[108],"different":[109],"estimate":[115],"methods,":[116],"their":[117],"top":[118,146],"bottom":[120,148],"quintile":[122],"distributions":[123],"fairly":[125],"consistent":[126,139],"based":[127],"on":[128],"Bangdiwala\u2019s":[129],"B-statistic,":[130],"suggesting":[131],"outputs":[133],"method":[136],"would":[137],"support":[138],"policy":[140],"making":[141],"terms":[143],"identifying":[145],"percent":[149],"counties.<span":[150],"class=\"Apple-converted-space\">":[151],"</span>":[152]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}