{"id":"https://openalex.org/W2503920952","doi":"https://doi.org/10.1186/s12859-016-1149-8","title":"Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection","display_name":"Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection","publication_year":2016,"publication_date":"2016-07-22","ids":{"openalex":"https://openalex.org/W2503920952","doi":"https://doi.org/10.1186/s12859-016-1149-8","mag":"2503920952","pmid":"https://pubmed.ncbi.nlm.nih.gov/27444890"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-016-1149-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1149-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1149-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1149-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085125500","display_name":"Andreas Mayr","orcid":"https://orcid.org/0000-0001-7106-9732"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Mayr","raw_affiliation_strings":["Institut f\u00fcr Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Waldstr. 6, Erlangen, 91054, Germany. andreas.mayr@fau.de","Institut f\u00fcr Medizinische Biometrie, Informatik und Epidemiologie, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Sigmund-Freud-Str. 25, Bonn, 53105, Germany. andreas.mayr@fau.de","Institut f\u00fcr Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Waldstr. 6, Erlangen, 91054, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Waldstr. 6, Erlangen, 91054, Germany. andreas.mayr@fau.de","institution_ids":[]},{"raw_affiliation_string":"Institut f\u00fcr Medizinische Biometrie, Informatik und Epidemiologie, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Sigmund-Freud-Str. 25, Bonn, 53105, Germany. andreas.mayr@fau.de","institution_ids":[]},{"raw_affiliation_string":"Institut f\u00fcr Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Waldstr. 6, Erlangen, 91054, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072285340","display_name":"Benjamin Hofner","orcid":"https://orcid.org/0000-0003-2810-3186"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Hofner","raw_affiliation_strings":["Institut f\u00fcr Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Waldstr. 6, Erlangen, 91054, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Waldstr. 6, Erlangen, 91054, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031620559","display_name":"Matthias Schmid","orcid":"https://orcid.org/0000-0002-0788-0317"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]},{"id":"https://openalex.org/I4210093117","display_name":"Institut f\u00fcr Medizinische Biometrie, Informatik und Epidemiologie","ror":"https://ror.org/00hyd8090","country_code":"DE","type":"facility","lineage":["https://openalex.org/I135140700","https://openalex.org/I4210093117"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Schmid","raw_affiliation_strings":["Institut f\u00fcr Medizinische Biometrie, Informatik und Epidemiologie, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Sigmund-Freud-Str. 25, Bonn, 53105, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Medizinische Biometrie, Informatik und Epidemiologie, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Sigmund-Freud-Str. 25, Bonn, 53105, Germany","institution_ids":["https://openalex.org/I4210093117","https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085125500"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1661,"currency":"EUR","value_usd":1791},"fwci":5.8185,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.96278207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"1","first_page":"288","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","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/T10136","display_name":"Statistical Methods and Inference","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/T10885","display_name":"Gene expression and cancer classification","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9682999849319458,"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/boosting","display_name":"Boosting (machine learning)","score":0.7840386629104614},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.7469034194946289},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6094199419021606},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.543297290802002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.460803747177124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40434664487838745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40070241689682007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37101107835769653},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3688731789588928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36290812492370605},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3288339376449585},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.284160315990448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25501054525375366}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7840386629104614},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.7469034194946289},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6094199419021606},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.543297290802002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.460803747177124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40434664487838745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40070241689682007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37101107835769653},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3688731789588928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36290812492370605},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3288339376449585},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.284160315990448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25501054525375366}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009362","descriptor_name":"Neoplasm Metastasis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009362","descriptor_name":"Neoplasm Metastasis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009362","descriptor_name":"Neoplasm Metastasis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12859-016-1149-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1149-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1149-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:27444890","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27444890","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-029409963","is_oa":false,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-79930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"},{"id":"pmh:oai:pubmedcentral.nih.gov:4957316","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4957316","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:ub.uni-erlangen.de-opus:7993","is_oa":true,"landing_page_url":"https://opus4.kobv.de/opus4-fau/files/7993/Mayr_boosting.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402340","display_name":"OPUS FAU (Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV), on behalf of the Universit\u00e4tsbibliothek Erlangen-N\u00fcrnberg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-016-1149-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1149-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1149-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G105526330","display_name":null,"funder_award_id":"SCHM 2966/1-2","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G762232396","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8330397625","display_name":null,"funder_award_id":"Funding","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2503920952.pdf","grobid_xml":"https://content.openalex.org/works/W2503920952.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W347231809","https://openalex.org/W1493363854","https://openalex.org/W1572302037","https://openalex.org/W1607833139","https://openalex.org/W1717863745","https://openalex.org/W1924599810","https://openalex.org/W1933386641","https://openalex.org/W1965138864","https://openalex.org/W1965801346","https://openalex.org/W1966322304","https://openalex.org/W1966455406","https://openalex.org/W1972283434","https://openalex.org/W1972987731","https://openalex.org/W1979006554","https://openalex.org/W1980469069","https://openalex.org/W1982059269","https://openalex.org/W1983141620","https://openalex.org/W1985505753","https://openalex.org/W1986187671","https://openalex.org/W1986546598","https://openalex.org/W1992837192","https://openalex.org/W2000703258","https://openalex.org/W2008343108","https://openalex.org/W2012557595","https://openalex.org/W2017008479","https://openalex.org/W2018811150","https://openalex.org/W2021733365","https://openalex.org/W2024046085","https://openalex.org/W2026706435","https://openalex.org/W2044702943","https://openalex.org/W2046119556","https://openalex.org/W2051483504","https://openalex.org/W2052825782","https://openalex.org/W2054633259","https://openalex.org/W2071721660","https://openalex.org/W2074703669","https://openalex.org/W2084139018","https://openalex.org/W2088883866","https://openalex.org/W2108828993","https://openalex.org/W2109242212","https://openalex.org/W2112137243","https://openalex.org/W2116815574","https://openalex.org/W2120579447","https://openalex.org/W2121180632","https://openalex.org/W2135046866","https://openalex.org/W2144922697","https://openalex.org/W2149199519","https://openalex.org/W2149407433","https://openalex.org/W2150671673","https://openalex.org/W2154884142","https://openalex.org/W2157076315","https://openalex.org/W2160842550","https://openalex.org/W2163563958","https://openalex.org/W2169033570","https://openalex.org/W2427409477","https://openalex.org/W2562162676","https://openalex.org/W2582743722","https://openalex.org/W2777143373","https://openalex.org/W2911964244","https://openalex.org/W3099478002","https://openalex.org/W3099723433","https://openalex.org/W3124986623","https://openalex.org/W4214512856","https://openalex.org/W4245024447","https://openalex.org/W4285719527","https://openalex.org/W4292334794","https://openalex.org/W4399521408","https://openalex.org/W4399576351"],"related_works":["https://openalex.org/W1601684588","https://openalex.org/W2108427450","https://openalex.org/W2104328188","https://openalex.org/W648938440","https://openalex.org/W4220795960","https://openalex.org/W2789177613","https://openalex.org/W2396330467","https://openalex.org/W2915108716","https://openalex.org/W3082059448","https://openalex.org/W4313640622"],"abstract_inverted_index":{"The":[0],"combination":[1],"of":[2,15,51,74],"stability":[3],"selection":[4,34,72],"and":[5,18,70],"C-index":[6],"boosting":[7,76],"can":[8],"be":[9],"used":[10],"to":[11,19,29,58,67],"select":[12],"small":[13],"numbers":[14],"informative":[16],"biomarkers":[17],"derive":[20],"new":[21,43],"prediction":[22,85],"rules":[23],"that":[24],"are":[25,81],"optimal":[26],"with":[27],"respect":[28],"their":[30],"discriminatory":[31],"power.":[32],"Stability":[33],"controls":[35],"the":[36,42,68,78],"per-family":[37],"error":[38],"rate":[39],"which":[40],"makes":[41],"approach":[44],"also":[45],"appealing":[46],"from":[47],"an":[48,56],"inferential":[49],"point":[50],"view,":[52],"as":[53],"it":[54],"provides":[55],"alternative":[57],"classical":[59],"hypothesis":[60],"tests":[61,80],"for":[62,84],"single":[63],"predictor":[64],"effects.":[65],"Due":[66],"shrinkage":[69],"variable":[71],"properties":[73],"statistical":[75],"algorithms,":[77],"latter":[79],"typically":[82],"unfeasible":[83],"models":[86],"fitted":[87],"by":[88],"boosting.":[89]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}