{"id":"https://openalex.org/W2912884280","doi":"https://doi.org/10.1007/s11634-018-00351-6","title":"Exploration of the variability of variable selection based on distances between bootstrap sample results","display_name":"Exploration of the variability of variable selection based on distances between bootstrap sample results","publication_year":2019,"publication_date":"2019-02-15","ids":{"openalex":"https://openalex.org/W2912884280","doi":"https://doi.org/10.1007/s11634-018-00351-6","mag":"2912884280"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-018-00351-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-018-00351-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-018-00351-6.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Advances in Data Analysis and Classification","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11634-018-00351-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076497670","display_name":"Christian Hennig","orcid":"https://orcid.org/0000-0003-1550-5637"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["GB","IT"],"is_corresponding":true,"raw_author_name":"Christian Hennig","raw_affiliation_strings":["University College London, London, UK","University of Bologna, London, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1550-5637","affiliations":[{"raw_affiliation_string":"University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"University of Bologna, London, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005158993","display_name":"Willi Sauerbrei","orcid":"https://orcid.org/0000-0002-6792-4123"},"institutions":[{"id":"https://openalex.org/I169724904","display_name":"Zimmer Biomet (Netherlands)","ror":"https://ror.org/034k8cv93","country_code":"NL","type":"company","lineage":["https://openalex.org/I169724904","https://openalex.org/I4210115238"]},{"id":"https://openalex.org/I2801240073","display_name":"University Medical Center Freiburg","ror":"https://ror.org/03vzbgh69","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2801240073"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["DE","IT","NL"],"is_corresponding":false,"raw_author_name":"Willi Sauerbrei","raw_affiliation_strings":["Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, London, Germany","University of Bologna, London, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, London, Germany","institution_ids":["https://openalex.org/I169724904","https://openalex.org/I2801240073"]},{"raw_affiliation_string":"University of Bologna, London, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076497670"],"corresponding_institution_ids":["https://openalex.org/I45129253","https://openalex.org/I9360294"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2132,"currency":"EUR","value_usd":2299},"fwci":1.0799,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79127505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"4","first_page":"933","last_page":"963"},"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":0.9922000169754028,"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":0.9922000169754028,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9847000241279602,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9797000288963318,"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":0.5886850357055664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5521650314331055},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.547383725643158},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5436789393424988},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5205156207084656},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.484758585691452},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4557584822177887},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.43852007389068604},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4319611191749573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32593172788619995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18024572730064392}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5886850357055664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5521650314331055},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.547383725643158},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5436789393424988},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5205156207084656},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.484758585691452},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4557584822177887},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.43852007389068604},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4319611191749573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32593172788619995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18024572730064392},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s11634-018-00351-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-018-00351-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-018-00351-6.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:13:y:2019:i:4:d:10.1007_s11634-018-00351-6","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-018-00351-6","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"},{"id":"pmh:oai:cris.unibo.it:11585/724394","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/724394","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10065457","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10065457/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   Advances in Data Analysis and Classification       (2019)     (In press).  ","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s11634-018-00351-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-018-00351-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-018-00351-6.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Advances in Data Analysis and Classification","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3430777037","display_name":"A multicriterion approach for cluster validation","funder_award_id":"EP/K033972/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4657438063","display_name":null,"funder_award_id":"EP/K033972/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4922144124","display_name":null,"funder_award_id":"SA 580/8-2","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912884280.pdf","grobid_xml":"https://content.openalex.org/works/W2912884280.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W98823147","https://openalex.org/W569687063","https://openalex.org/W1481086236","https://openalex.org/W1507617276","https://openalex.org/W1546527209","https://openalex.org/W1558389304","https://openalex.org/W1580788756","https://openalex.org/W1963908676","https://openalex.org/W1968471614","https://openalex.org/W1996093516","https://openalex.org/W2003377097","https://openalex.org/W2009462809","https://openalex.org/W2012224392","https://openalex.org/W2043754180","https://openalex.org/W2055063781","https://openalex.org/W2063384143","https://openalex.org/W2100471135","https://openalex.org/W2103283860","https://openalex.org/W2115709314","https://openalex.org/W2129249398","https://openalex.org/W2135046866","https://openalex.org/W2147138207","https://openalex.org/W2154386868","https://openalex.org/W2169065610","https://openalex.org/W2234763457","https://openalex.org/W2263071834","https://openalex.org/W2489916297","https://openalex.org/W2494169975","https://openalex.org/W2498631646","https://openalex.org/W2505884832","https://openalex.org/W3099758428","https://openalex.org/W3102311896","https://openalex.org/W3147894994","https://openalex.org/W3175417087","https://openalex.org/W4300570360"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W2138381686","https://openalex.org/W1998176685","https://openalex.org/W2141585124","https://openalex.org/W2032175896","https://openalex.org/W3123883311","https://openalex.org/W1488006380"],"abstract_inverted_index":{"It":[0,160],"is":[1,143],"well":[2],"known":[3],"that":[4,14,45,123],"variable":[5,54,140,157],"selection":[6,55,141,158,180],"in":[7],"multiple":[8],"regression":[9,153,171],"can":[10,18,24,115,148],"be":[11,19,25,67,149,162],"unstable":[12],"and":[13,27,89,110,156,172,178,183],"the":[15,47,53,63,72,75,85,91,102,121],"model":[16,22,179],"uncertainty":[17,23],"considerable.":[20],"The":[21,96,146],"quantified":[26],"explored":[28],"by":[29,104,132,164,181],"bootstrap":[30,50,79,134],"resampling,":[31],"see":[32],"Sauerbrei":[33],"et":[34],"al.":[35],"(Biom":[36],"J":[37],"57:531\u2013555,":[38],"2015":[39],").":[40],"Here":[41],"approaches":[42],"are":[43,82,98],"introduced":[44],"use":[46],"results":[48,73],"of":[49,52,74,77,87,93,120,129,139],"replications":[51],"process":[56],"to":[57,100,107,111,117,151],"obtain":[58],"more":[59],"detailed":[60],"information":[61],"about":[62],"data.":[64],"Analyses":[65],"will":[66,161],"based":[68],"on":[69],"dissimilarities":[70,97],"between":[71,84,90],"analyses":[76],"different":[78,118,127,133],"samples.":[80,135],"Dissimilarities":[81],"computed":[83],"vector":[86],"predictions,":[88],"sets":[92],"selected":[94],"variables.":[95],"used":[99],"map":[101],"models":[103],"multidimensional":[105],"scaling,":[106],"cluster":[108],"them,":[109],"construct":[112],"heatplots.":[113],"Clusters":[114],"point":[116],"interpretations":[119],"data":[122,167],"could":[124],"arise":[125],"from":[126],"selections":[128],"variables":[130],"supported":[131],"A":[136],"new":[137],"measure":[138],"instability":[142],"also":[144],"defined.":[145],"methodology":[147],"applied":[150],"various":[152],"models,":[154],"estimators,":[155],"methods.":[159],"illustrated":[163],"three":[165],"real":[166],"examples,":[168],"using":[169],"linear":[170],"a":[173],"Cox":[174],"proportional":[175],"hazards":[176],"model,":[177],"AIC":[182],"BIC.":[184]},"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":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}