{"id":"https://openalex.org/W2076514933","doi":"https://doi.org/10.1186/1472-6947-12-3","title":"Use of name recognition software, census data and multiple imputation to predict missing data on ethnicity: application to cancer registry records","display_name":"Use of name recognition software, census data and multiple imputation to predict missing data on ethnicity: application to cancer registry records","publication_year":2012,"publication_date":"2012-01-23","ids":{"openalex":"https://openalex.org/W2076514933","doi":"https://doi.org/10.1186/1472-6947-12-3","mag":"2076514933","pmid":"https://pubmed.ncbi.nlm.nih.gov/22269985"},"language":"en","primary_location":{"id":"doi:10.1186/1472-6947-12-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103510212","display_name":"Ronan Ryan","orcid":null},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ronan Ryan","raw_affiliation_strings":["Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham B15 2TT UK. r.p.ryan@bham.ac.uk","Public Health, Epidemiology and Biostatistics; University of Birmingham; Birmingham UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham B15 2TT UK. r.p.ryan@bham.ac.uk","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"Public Health, Epidemiology and Biostatistics; University of Birmingham; Birmingham UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010681830","display_name":"Sally Vernon","orcid":"https://orcid.org/0009-0007-6290-715X"},"institutions":[{"id":"https://openalex.org/I4210153752","display_name":"National Cancer Registration Service","ror":"https://ror.org/05mn3rr77","country_code":"GB","type":"other","lineage":["https://openalex.org/I4210153752"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sally Vernon","raw_affiliation_strings":["Eastern Cancer Registration and Information Centre, Public Health Building, Unit C - Magog Court, Shelford Bottom, Hinton Way, Cambridge, CB22 3AD, UK","Eastern Cancer Registration and Information Centre, Public Health Building, Unit C - Magog Court, Shelford Bottom, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eastern Cancer Registration and Information Centre, Public Health Building, Unit C - Magog Court, Shelford Bottom, Hinton Way, Cambridge, CB22 3AD, UK","institution_ids":["https://openalex.org/I4210153752"]},{"raw_affiliation_string":"Eastern Cancer Registration and Information Centre, Public Health Building, Unit C - Magog Court, Shelford Bottom, Cambridge, UK","institution_ids":["https://openalex.org/I4210153752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111770866","display_name":"Gill Lawrence","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135017","display_name":"Cancer Research UK Clinical Trials Unit","ror":"https://ror.org/03qxptw71","country_code":"GB","type":"facility","lineage":["https://openalex.org/I2801316944","https://openalex.org/I4210135017","https://openalex.org/I79619799"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gill Lawrence","raw_affiliation_strings":["West Midlands Cancer Intelligence Unit, Public Health Building, University of Birmingham, Birmingham, B15 2TT, UK","West Midlands Cancer Intelligence Unit, Public Health Building, University of Birmingham, Birmingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Midlands Cancer Intelligence Unit, Public Health Building, University of Birmingham, Birmingham, B15 2TT, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"West Midlands Cancer Intelligence Unit, Public Health Building, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I4210135017","https://openalex.org/I79619799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113507050","display_name":"Sue Wilson","orcid":"https://orcid.org/0009-0001-6756-6661"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sue Wilson","raw_affiliation_strings":["Primary Care Clinical Sciences, University of Birmingham, Birmingham, B15 2TT, UK","Primary Care Clinical Sciences, University of Birmingham, Birmingham, UK;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Primary Care Clinical Sciences, University of Birmingham, Birmingham, B15 2TT, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"Primary Care Clinical Sciences, University of Birmingham, Birmingham, UK;","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103510212"],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":3.9212,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.92649881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"1","first_page":"3","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10762","display_name":"Migration, Health and Trauma","score":0.3894999921321869,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10762","display_name":"Migration, Health and Trauma","score":0.3894999921321869,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10556","display_name":"Global Cancer Incidence and Screening","score":0.2921000123023987,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10652","display_name":"Racial and Ethnic Identity Research","score":0.051100000739097595,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ethnic-group","display_name":"Ethnic group","score":0.8660293817520142},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6363427042961121},{"id":"https://openalex.org/keywords/census","display_name":"Census","score":0.579637885093689},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5532613396644592},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5518855452537537},{"id":"https://openalex.org/keywords/residence","display_name":"Residence","score":0.5012462139129639},{"id":"https://openalex.org/keywords/cancer-registry","display_name":"Cancer registry","score":0.48087814450263977},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.4682878851890564},{"id":"https://openalex.org/keywords/epidemiology","display_name":"Epidemiology","score":0.38996797800064087},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35844337940216064},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3404747247695923},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.32435327768325806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.28967201709747314},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.27874064445495605},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.18510448932647705},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.18069633841514587},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11332473158836365},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10358598828315735},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09966906905174255}],"concepts":[{"id":"https://openalex.org/C137403100","wikidata":"https://www.wikidata.org/wiki/Q41710","display_name":"Ethnic group","level":2,"score":0.8660293817520142},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6363427042961121},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.579637885093689},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5532613396644592},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5518855452537537},{"id":"https://openalex.org/C2776269092","wikidata":"https://www.wikidata.org/wiki/Q1611074","display_name":"Residence","level":2,"score":0.5012462139129639},{"id":"https://openalex.org/C2778527826","wikidata":"https://www.wikidata.org/wiki/Q1787017","display_name":"Cancer registry","level":3,"score":0.48087814450263977},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.4682878851890564},{"id":"https://openalex.org/C107130276","wikidata":"https://www.wikidata.org/wiki/Q133805","display_name":"Epidemiology","level":2,"score":0.38996797800064087},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35844337940216064},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3404747247695923},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.32435327768325806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28967201709747314},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.27874064445495605},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.18510448932647705},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.18069633841514587},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11332473158836365},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10358598828315735},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09966906905174255},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005006","descriptor_name":"Ethnicity","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D005006","descriptor_name":"Ethnicity","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D005006","descriptor_name":"Ethnicity","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006113","descriptor_name":"United Kingdom","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D006113","descriptor_name":"United Kingdom","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D006113","descriptor_name":"United Kingdom","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009275","descriptor_name":"Names","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009275","descriptor_name":"Names","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009275","descriptor_name":"Names","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000208","qualifier_name":"ethnology","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000208","qualifier_name":"ethnology","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000208","qualifier_name":"ethnology","is_major_topic":false},{"descriptor_ui":"D012042","descriptor_name":"Registries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012042","descriptor_name":"Registries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012042","descriptor_name":"Registries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019352","descriptor_name":"Censuses","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019352","descriptor_name":"Censuses","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019352","descriptor_name":"Censuses","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1472-6947-12-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:22269985","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22269985","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:ff54fe739fa245739254780eb26222db","is_oa":true,"landing_page_url":"https://doaj.org/article/ff54fe739fa245739254780eb26222db","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 12, Iss 1, p 3 (2012)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3353229","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3353229","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/ceec6b20-570a-4804-ac84-e4a2ca332209","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/ceec6b20-570a-4804-ac84-e4a2ca332209","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ryan, R, Vernon, S, Lawrence, G & Wilson, S 2012, 'Use of name recognition software, census data and multiple imputation to predict missing data on ethnicity: application to cancer registry records.', BMC Medical Informatics and Decision Making, vol. 12, pp. 3. https://doi.org/10.1186/1472-6947-12-3","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/1472-6947-12-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320339","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2076514933.pdf","grobid_xml":"https://content.openalex.org/works/W2076514933.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1830007163","https://openalex.org/W2036169376","https://openalex.org/W2042065729","https://openalex.org/W2049977108","https://openalex.org/W2065974896","https://openalex.org/W2107483719","https://openalex.org/W2113559481","https://openalex.org/W2124692188","https://openalex.org/W2139874811","https://openalex.org/W2144082061","https://openalex.org/W2148005820","https://openalex.org/W2158126531","https://openalex.org/W2168297366"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"BACKGROUND:":[0],"Information":[1],"on":[2,46,125],"ethnicity":[3,48,87,101,115,126,147,177,230,252],"is":[4,33],"commonly":[5],"used":[6,83],"by":[7,253],"health":[8,240,254],"services":[9],"and":[10,19,29,73,79,158,201,222,235],"researchers":[11],"to":[12,84,195,231],"plan":[13],"services,":[14,67],"ensure":[15],"equality":[16],"of":[17,49,88,91,114,146,204,206,218,225,239,251],"access,":[18],"for":[20,42,53,116,148,155,160,192,228,237],"epidemiological":[21],"studies.":[22],"In":[23],"common":[24],"with":[25,99,123],"other":[26,149],"important":[27],"demographic":[28],"clinical":[30],"data":[31,45,124,165],"it":[32],"often":[34],"incompletely":[35],"recorded.":[36],"This":[37],"paper":[38],"presents":[39],"a":[40,54,143,173],"method":[41,191],"imputing":[43],"missing":[44,96],"the":[47,59,86,89,168,223],"cancer":[50,56,65,119],"patients,":[51],"developed":[52],"regional":[55],"registry":[57],"in":[58],"UK.":[60],"METHODS:":[61],"Routine":[62],"records":[63],"from":[64,102,128,167,248],"screening":[66],"name":[68,108,219],"recognition":[69,109,200,220],"software":[70,110],"(Nam":[71],"Pehchan":[72],"Onomap),":[74],"2001":[75],"national":[76,169],"Census":[77,170],"data,":[78],"multiple":[80],"imputation":[81],"were":[82,94,111],"predict":[85],"23%":[90],"cases":[92,120,157],"that":[93],"still":[95],"following":[97],"linkage":[98],"self-reported":[100],"inpatient":[103,130],"hospital":[104,129],"records.":[105],"RESULTS:":[106],"The":[107],"good":[112],"predictors":[113],"South":[117,179],"Asian":[118,180],"when":[121,133],"compared":[122],"derived":[127,166],"records,":[131],"especially":[132],"combined":[134],"(sensitivity":[135,153],"90.5%;":[136],"specificity":[137],"99.9%;":[138],"PPV":[139],"93.3%).":[140],"Onomap":[141],"was":[142,171],"poor":[144,174],"predictor":[145,175],"minority":[150],"ethnic":[151,162,197,202,212],"groups":[152],"4.4%":[154],"Black":[156,182],"0.0%":[159],"Chinese/Other":[161,184],"groups).":[163],"Area-based":[164],"also":[172],"non-White":[176],"(sensitivity:":[178],"7.4%;":[181],"2.3%;":[183],"0.0%;":[185],"Mixed":[186],"0.0%).":[187],"CONCLUSIONS:":[188],"Currently,":[189],"neither":[190],"assigning":[193],"individuals":[194],"an":[196],"group":[198],"(name":[199],"distribution":[203],"area":[205],"residence)":[207],"performs":[208],"well":[209],"across":[210],"all":[211],"groups.":[213],"We":[214],"recommend":[215],"further":[216],"development":[217],"applications":[221],"identification":[224],"additional":[226],"methods":[227],"predicting":[229],"improve":[232],"their":[233],"precision":[234],"accuracy":[236],"comparisons":[238],"outcomes.":[241],"However,":[242],"real":[243],"improvements":[244],"can":[245],"only":[246],"come":[247],"better":[249],"recording":[250],"services.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}