{"id":"https://openalex.org/W2058791887","doi":"https://doi.org/10.1016/j.csda.2013.07.015","title":"Finding the optimal cut-point for Gaussian and Gamma distributed biomarkers","display_name":"Finding the optimal cut-point for Gaussian and Gamma distributed biomarkers","publication_year":2013,"publication_date":"2013-07-16","ids":{"openalex":"https://openalex.org/W2058791887","doi":"https://doi.org/10.1016/j.csda.2013.07.015","mag":"2058791887"},"language":"en","primary_location":{"id":"doi:10.1016/j.csda.2013.07.015","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.csda.2013.07.015","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":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3416890","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068299187","display_name":"Matteo Rota","orcid":"https://orcid.org/0000-0003-3928-5966"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Matteo Rota","raw_affiliation_strings":["Department of Health Sciences, Centre of Biostatistics for Clinical Epidemiology, University of Milano-Bicocca, Monza, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Sciences, Centre of Biostatistics for Clinical Epidemiology, University of Milano-Bicocca, Monza, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064951012","display_name":"Laura Antolini","orcid":"https://orcid.org/0000-0003-1040-4191"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Laura Antolini","raw_affiliation_strings":["Department of Health Sciences, Centre of Biostatistics for Clinical Epidemiology, University of Milano-Bicocca, Monza, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Sciences, Centre of Biostatistics for Clinical Epidemiology, University of Milano-Bicocca, Monza, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068299187"],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":1.9352,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.8727549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"69","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cut-point","display_name":"Cut-point","score":0.8031007051467896},{"id":"https://openalex.org/keywords/youdens-j-statistic","display_name":"Youden's J statistic","score":0.8008149862289429},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.6674013137817383},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6091393828392029},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5605679154396057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.558706521987915},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.5002219676971436},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48098981380462646},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4524199366569519},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4132179021835327},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41170182824134827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37741562724113464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3615437150001526},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24135509133338928},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11199736595153809}],"concepts":[{"id":"https://openalex.org/C2781415353","wikidata":"https://www.wikidata.org/wiki/Q5196602","display_name":"Cut-point","level":2,"score":0.8031007051467896},{"id":"https://openalex.org/C43346845","wikidata":"https://www.wikidata.org/wiki/Q8057732","display_name":"Youden's J statistic","level":3,"score":0.8008149862289429},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.6674013137817383},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6091393828392029},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5605679154396057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.558706521987915},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.5002219676971436},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48098981380462646},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4524199366569519},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4132179021835327},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41170182824134827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37741562724113464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3615437150001526},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24135509133338928},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11199736595153809},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.csda.2013.07.015","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.csda.2013.07.015","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:boa.unimib.it:10281/45940","is_oa":false,"landing_page_url":"http://hdl.handle.net/10281/45940","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unibs.it:11379/516339","is_oa":false,"landing_page_url":"http://hdl.handle.net/11379/516339","pdf_url":null,"source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:3416890","is_oa":true,"landing_page_url":"https://zenodo.org/record/3416890","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3416890","is_oa":true,"landing_page_url":"https://zenodo.org/record/3416890","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W80256803","https://openalex.org/W1539462193","https://openalex.org/W1887790309","https://openalex.org/W1978018057","https://openalex.org/W2006697674","https://openalex.org/W2016680278","https://openalex.org/W2021156807","https://openalex.org/W2028170900","https://openalex.org/W2055472916","https://openalex.org/W2056665205","https://openalex.org/W2061902340","https://openalex.org/W2062858315","https://openalex.org/W2064799866","https://openalex.org/W2092926517","https://openalex.org/W2095967516","https://openalex.org/W2117352205","https://openalex.org/W2122860580","https://openalex.org/W2125833000","https://openalex.org/W2134268004","https://openalex.org/W2141917390","https://openalex.org/W2150780222","https://openalex.org/W2152575748","https://openalex.org/W2155982020","https://openalex.org/W2166251030","https://openalex.org/W4388317518","https://openalex.org/W6639642827","https://openalex.org/W6655866782"],"related_works":["https://openalex.org/W2157758999","https://openalex.org/W2364996258","https://openalex.org/W2898416359","https://openalex.org/W2978337663","https://openalex.org/W3124804944","https://openalex.org/W52484821","https://openalex.org/W2515228867","https://openalex.org/W2047520371","https://openalex.org/W2073887351","https://openalex.org/W2117352205"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2016-06-24T00:00:00"}
