{"id":"https://openalex.org/W2020477147","doi":"https://doi.org/10.1016/j.csda.2003.10.014","title":"An evaluation of non-parametric relative risk estimators for disease maps","display_name":"An evaluation of non-parametric relative risk estimators for disease maps","publication_year":2003,"publication_date":"2003-11-23","ids":{"openalex":"https://openalex.org/W2020477147","doi":"https://doi.org/10.1016/j.csda.2003.10.014","mag":"2020477147"},"language":"en","primary_location":{"id":"doi:10.1016/j.csda.2003.10.014","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.csda.2003.10.014","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics &amp; Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073529749","display_name":"Allan Clark","orcid":"https://orcid.org/0000-0003-2965-8941"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Allan B. Clark","raw_affiliation_strings":["School of Public Health, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112360409","display_name":"Andrew Lawson","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew B. Lawson","raw_affiliation_strings":["School of Public Health, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073529749"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":0.9364,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.80827979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"47","issue":"1","first_page":"63","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9814000129699707,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6677113771438599},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6485617756843567},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5407156944274902},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5211917757987976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5158438086509705},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4616936445236206},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44090694189071655},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4321242570877075},{"id":"https://openalex.org/keywords/kernel-smoother","display_name":"Kernel smoother","score":0.42041438817977905},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41900312900543213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3904801607131958},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3435894846916199},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33950871229171753},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33212125301361084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31820932030677795},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10738617181777954}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6677113771438599},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6485617756843567},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5407156944274902},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5211917757987976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5158438086509705},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4616936445236206},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44090694189071655},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4321242570877075},{"id":"https://openalex.org/C27406209","wikidata":"https://www.wikidata.org/wiki/Q6394203","display_name":"Kernel smoother","level":5,"score":0.42041438817977905},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41900312900543213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3904801607131958},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3435894846916199},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33950871229171753},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33212125301361084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31820932030677795},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10738617181777954},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.csda.2003.10.014","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.csda.2003.10.014","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics &amp; Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:ueaeprints.uea.ac.uk:12357","is_oa":false,"landing_page_url":"https://ueaeprints.uea.ac.uk/id/eprint/12357/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400384","display_name":"UEA Digital Repository (University of East Anglia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1118541","host_organization_name":"University of East Anglia","host_organization_lineage":["https://openalex.org/I1118541"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.103.2764","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.2764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.business.otago.ac.nz/SIRC/conferences/2002_GeoHealth/01_clark.pdf","raw_type":"text"},{"id":"pmh:oai:RePEc:eee:csdana:v:47:y:2004:i:1:p:63-78","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0167-9473(03)00248-2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W115054479","https://openalex.org/W326839497","https://openalex.org/W378852613","https://openalex.org/W1551982057","https://openalex.org/W1597926580","https://openalex.org/W1978326938","https://openalex.org/W1981890344","https://openalex.org/W2001213989","https://openalex.org/W2021557681","https://openalex.org/W2024866217","https://openalex.org/W2064385888","https://openalex.org/W2130761473","https://openalex.org/W2767905780","https://openalex.org/W3004389950","https://openalex.org/W4206419526","https://openalex.org/W4237967802","https://openalex.org/W4244189170","https://openalex.org/W4285719527","https://openalex.org/W4388290870","https://openalex.org/W6679472786"],"related_works":["https://openalex.org/W2552416899","https://openalex.org/W2999721917","https://openalex.org/W4287906215","https://openalex.org/W2089892314","https://openalex.org/W4206381862","https://openalex.org/W4386075310","https://openalex.org/W2095626363","https://openalex.org/W2420851703","https://openalex.org/W2011212036","https://openalex.org/W2974741803"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}
