{"id":"https://openalex.org/W3111788989","doi":"https://doi.org/10.1002/sam.11491","title":"A note on marginal correlation based screening","display_name":"A note on marginal correlation based screening","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3111788989","doi":"https://doi.org/10.1002/sam.11491","mag":"3111788989"},"language":"en","primary_location":{"id":"doi:10.1002/sam.11491","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sam.11491","pdf_url":null,"source":{"id":"https://openalex.org/S40788348","display_name":"Statistical Analysis and Data Mining The ASA Data Science Journal","issn_l":"1932-1864","issn":["1932-1864","1932-1872"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Analysis and Data Mining: The ASA Data Science Journal","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/A5100613995","display_name":"Run Wang","orcid":"https://orcid.org/0000-0001-5570-6391"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]},{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Run Wang","raw_affiliation_strings":["Department of Statistics Iowa State University Iowa USA","Department of Statistics, Iowa State University, Iowa, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Iowa State University Iowa USA","institution_ids":["https://openalex.org/I173911158","https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Statistics, Iowa State University, Iowa, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073403589","display_name":"Somak Dutta","orcid":"https://orcid.org/0000-0002-5613-8987"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]},{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Somak Dutta","raw_affiliation_strings":["Department of Statistics Iowa State University Iowa USA","Department of Statistics, Iowa State University, Iowa, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Iowa State University Iowa USA","institution_ids":["https://openalex.org/I173911158","https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Statistics, Iowa State University, Iowa, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060155702","display_name":"Vivekananda Roy","orcid":"https://orcid.org/0000-0002-2964-9503"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]},{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vivekananda Roy","raw_affiliation_strings":["Department of Statistics Iowa State University Iowa USA","Department of Statistics, Iowa State University, Iowa, USA"],"raw_orcid":"https://orcid.org/0000-0002-2964-9503","affiliations":[{"raw_affiliation_string":"Department of Statistics Iowa State University Iowa USA","institution_ids":["https://openalex.org/I173911158","https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Statistics, Iowa State University, Iowa, USA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060155702"],"corresponding_institution_ids":["https://openalex.org/I126307644","https://openalex.org/I173911158"],"apc_list":{"value":3760,"currency":"USD","value_usd":3760},"apc_paid":null,"fwci":0.1762,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63089532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"14","issue":"1","first_page":"88","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.706933856010437},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6549776792526245},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5751133561134338},{"id":"https://openalex.org/keywords/distance-correlation","display_name":"Distance correlation","score":0.5720911026000977},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5409122705459595},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5203920602798462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4144456386566162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39952999353408813},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.36065661907196045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22704914212226868},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.19461166858673096}],"concepts":[{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.706933856010437},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6549776792526245},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5751133561134338},{"id":"https://openalex.org/C121694360","wikidata":"https://www.wikidata.org/wiki/Q5282862","display_name":"Distance correlation","level":3,"score":0.5720911026000977},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5409122705459595},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5203920602798462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4144456386566162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39952999353408813},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.36065661907196045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22704914212226868},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.19461166858673096},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/sam.11491","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sam.11491","pdf_url":null,"source":{"id":"https://openalex.org/S40788348","display_name":"Statistical Analysis and Data Mining The ASA Data Science Journal","issn_l":"1932-1864","issn":["1932-1864","1932-1872"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Analysis and Data Mining: The ASA Data Science Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G6457080803","display_name":null,"funder_award_id":"IOW03617","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"}],"funders":[{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1580111774","https://openalex.org/W1849963216","https://openalex.org/W2001499475","https://openalex.org/W2014604981","https://openalex.org/W2018882974","https://openalex.org/W2020925091","https://openalex.org/W2060170493","https://openalex.org/W2074682976","https://openalex.org/W2118047185","https://openalex.org/W2119387367","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2142486812","https://openalex.org/W2154560360","https://openalex.org/W2164092415","https://openalex.org/W2317235261","https://openalex.org/W3002534707","https://openalex.org/W3122008423","https://openalex.org/W4241840704"],"related_works":["https://openalex.org/W2792256792","https://openalex.org/W4213337194","https://openalex.org/W2899909497","https://openalex.org/W3013810674","https://openalex.org/W3211668576","https://openalex.org/W3081640970","https://openalex.org/W4244679871","https://openalex.org/W2379618799","https://openalex.org/W4385816550","https://openalex.org/W2765894738"],"abstract_inverted_index":{"Abstract":[0],"Independence":[1],"screening":[2,45,97,101],"methods":[3,46],"such":[4],"as":[5],"the":[6,11,18,43,48,75],"two\u2010sample":[7],"t":[8],"\u2010test":[9],"and":[10,66],"marginal":[12,95],"correlation":[13,96],"based":[14],"ranking":[15],"are":[16,36,62,72],"among":[17,64],"most":[19],"widely":[20],"used":[21,37,89],"techniques":[22],"for":[23],"variable":[24],"selection":[25],"in":[26,47],"ultrahigh\u2010dimensional":[27],"data":[28,81],"sets.":[29],"In":[30],"this":[31],"short":[32],"note,":[33],"simple":[34],"examples":[35],"to":[38,90,99],"demonstrate":[39],"potential":[40],"problems":[41],"with":[42,74],"independence":[44],"presence":[49],"of":[50,94],"correlated":[51],"predictors.":[52],"Also,":[53],"an":[54],"example":[55,82],"is":[56,88],"considered":[57],"where":[58],"all":[59,67],"important":[60,70],"variables":[61,71],"independent":[63,73],"themselves":[65],"but":[68],"one":[69],"unimportant":[76],"variables.":[77],"Furthermore,":[78],"a":[79,84],"real":[80],"from":[83],"genome\u2010wide":[85],"association":[86],"study":[87],"illustrate":[91],"inferior":[92],"performance":[93],"compared":[98],"another":[100],"method.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}