{"id":"https://openalex.org/W1968131980","doi":"https://doi.org/10.1080/03610910701569614","title":"Positive False Discovery Rate Estimate in Step-Wise Variable Selection","display_name":"Positive False Discovery Rate Estimate in Step-Wise Variable Selection","publication_year":2007,"publication_date":"2007-11-05","ids":{"openalex":"https://openalex.org/W1968131980","doi":"https://doi.org/10.1080/03610910701569614","mag":"1968131980"},"language":"en","primary_location":{"id":"doi:10.1080/03610910701569614","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910701569614","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5100383618","display_name":"Lang Li","orcid":"https://orcid.org/0000-0002-5334-8719"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]},{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lang Li","raw_affiliation_strings":["Indiana University","Department of Medicine; Indiana University; Indianapolis Indiana USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"Department of Medicine; Indiana University; Indianapolis Indiana USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111439097","display_name":"Siu Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]},{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siu Hui","raw_affiliation_strings":["Indiana University","Department of Medicine; Indiana University; Indianapolis Indiana USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"Department of Medicine; Indiana University; Indianapolis Indiana USA","institution_ids":["https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100383618"],"corresponding_institution_ids":["https://openalex.org/I55769427","https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":0.2678,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60059915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"36","issue":"6","first_page":"1217","last_page":"1231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9991999864578247,"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":0.9991999864578247,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9944000244140625,"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/feature-selection","display_name":"Feature selection","score":0.669033408164978},{"id":"https://openalex.org/keywords/null-hypothesis","display_name":"Null hypothesis","score":0.6310706734657288},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6211670637130737},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.600793719291687},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.5980506539344788},{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.5776044726371765},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.5515078902244568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5245542526245117},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.48521116375923157},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4570368528366089},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3864436745643616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31076550483703613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30831652879714966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2619418501853943},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13388043642044067}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.669033408164978},{"id":"https://openalex.org/C191988596","wikidata":"https://www.wikidata.org/wiki/Q628374","display_name":"Null hypothesis","level":2,"score":0.6310706734657288},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6211670637130737},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.600793719291687},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.5980506539344788},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.5776044726371765},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.5515078902244568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5245542526245117},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.48521116375923157},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4570368528366089},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3864436745643616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31076550483703613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30831652879714966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2619418501853943},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13388043642044067},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910701569614","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910701569614","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1596515083","https://openalex.org/W1635341812","https://openalex.org/W1933084501","https://openalex.org/W1963691065","https://openalex.org/W1967188388","https://openalex.org/W1968694834","https://openalex.org/W1969423031","https://openalex.org/W1971629719","https://openalex.org/W2015930390","https://openalex.org/W2032829487","https://openalex.org/W2033872649","https://openalex.org/W2040965968","https://openalex.org/W2050297026","https://openalex.org/W2055984049","https://openalex.org/W2074089196","https://openalex.org/W2100073637","https://openalex.org/W2105381419","https://openalex.org/W2108076619","https://openalex.org/W2110065044","https://openalex.org/W2121398847","https://openalex.org/W2157795344","https://openalex.org/W2798643531","https://openalex.org/W4234107176","https://openalex.org/W4235821062","https://openalex.org/W4238463311","https://openalex.org/W4294107304","https://openalex.org/W4300819821"],"related_works":["https://openalex.org/W2020413892","https://openalex.org/W2093463665","https://openalex.org/W2102122784","https://openalex.org/W256699647","https://openalex.org/W2046875666","https://openalex.org/W154531455","https://openalex.org/W2088387197","https://openalex.org/W1976797354","https://openalex.org/W200550325","https://openalex.org/W1995992573"],"abstract_inverted_index":{"Selecting":[0],"predictors":[1,118,126,143],"to":[2,62,82,146],"optimize":[3],"the":[4,16,20,37,53,64,73,107,121,148],"outcome":[5],"prediction":[6],"is":[7,80,110,133,165],"an":[8,97,100,136],"important":[9],"statistical":[10,168],"method.":[11],"However,":[12],"it":[13],"usually":[14],"ignores":[15],"false":[17,47],"positives":[18],"in":[19,138],"selected":[21,54,65,145],"predictors.":[22,66,130],"In":[23,86],"this":[24],"article,":[25],"we":[26,88],"advocate":[27],"a":[28,45,58,93],"conventional":[29],"stepwise":[30],"forward":[31],"variable":[32,94],"selection":[33,95],"method":[34],"based":[35],"on":[36],"predicted":[38],"residual":[39],"sum":[40],"of":[41,72,75,92,106,114,123,155],"squares,":[42],"and":[43,57,79,99,141,158],"develop":[44],"positive":[46],"discovery":[48],"rate":[49],"(pFDR)":[50],"estimate":[51,61,69],"for":[52],"predictor":[55],"subset,":[56],"local":[59],"pFDR":[60,68,159],"prioritize":[63],"This":[67],"takes":[70],"account":[71],"existence":[74],"non":[76,116,124],"null":[77,117,125],"predictors,":[78],"proved":[81],"be":[83],"asymptotically":[84],"conservative.":[85],"addition,":[87],"propose":[89],"two":[90],"views":[91],"process:":[96],"overall":[98,108],"individual":[101],"test.":[102],"An":[103],"interesting":[104],"feature":[105],"test":[109],"that":[111],"its":[112],"power":[113],"selecting":[115],"increases":[119],"with":[120,135],"proportion":[122],"among":[127],"all":[128],"candidate":[129],"Data":[131],"analysis":[132],"illustrated":[134],"example,":[137],"which":[139],"genetic":[140],"clinical":[142],"were":[144],"predict":[147],"cholesterol":[149],"level":[150],"change":[151],"after":[152],"four":[153],"months":[154],"tamoxifen":[156],"treatment,":[157],"was":[160],"estimated.":[161],"Our":[162],"method's":[163],"performance":[164],"evaluated":[166],"through":[167],"simulations.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}