{"id":"https://openalex.org/W3132285042","doi":"https://doi.org/10.32614/rj-2021-020","title":"Analyzing Basket Trials under Multisource Exchangeability Assumptions","display_name":"Analyzing Basket Trials under Multisource Exchangeability Assumptions","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3132285042","doi":"https://doi.org/10.32614/rj-2021-020","mag":"3132285042"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2021-020","doi":"https://doi.org/10.32614/rj-2021-020","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2021-020","pdf_url":null,"source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/I4402554076","host_organization_name":"R Foundation for Statistical Computing","host_organization_lineage":["https://openalex.org/I4402554076"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32614/rj-2021-020","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Michael,J. Kane","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael,J. Kane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442867","display_name":"Nan Chen","orcid":"https://orcid.org/0000-0003-3020-6846","observed_orcids":["https://orcid.org/0000-0003-3020-6846"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nan Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102389345","display_name":"M. Kaizer Alexander","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander,M. Kaizer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056749211","display_name":"Xun Jiang","orcid":"https://orcid.org/0000-0002-3344-4797","observed_orcids":["https://orcid.org/0000-0002-3344-4797"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xun Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152869431","display_name":"Amy Xia H.","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H.,Amy Xia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Brian,P. Hobbs","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian,P. Hobbs","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.532,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86711639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":98},"biblio":{"volume":"12","issue":"2","first_page":"342","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9970999956130981,"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":0.9970999956130981,"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":0.0019000000320374966,"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":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/basket-trials","display_name":"basket trials","score":0.9959999918937683},{"id":"https://openalex.org/keywords/rare-diseases","display_name":"rare diseases","score":0.5849999785423279},{"id":"https://openalex.org/keywords/cancer-clinical-trials","display_name":"cancer clinical trials","score":0.7689999938011169},{"id":"https://openalex.org/keywords/targeted-therapy","display_name":"targeted therapy","score":0.6240000128746033},{"id":"https://openalex.org/keywords/bayesian-hierarchical-model","display_name":"Bayesian hierarchical model","score":0.5569999814033508},{"id":"https://openalex.org/keywords/response-rate","display_name":"response rate","score":0.8009999990463257}],"concepts":[{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.6781148910522461},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6659670472145081},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5888928174972534},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.528394877910614},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5221317410469055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49927544593811035},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4716567099094391},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.42870187759399414},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4196477234363556},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40698373317718506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39300161600112915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3667108714580536},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.34030574560165405},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2745952606201172},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.21540021896362305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2138010561466217},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18127453327178955},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.32614/rj-2021-020","doi":"https://doi.org/10.32614/rj-2021-020","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2021-020","pdf_url":null,"source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/I4402554076","host_organization_name":"R Foundation for Statistical Computing","host_organization_lineage":["https://openalex.org/I4402554076"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1908.00618","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00618","pdf_url":"https://arxiv.org/pdf/1908.00618","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:digitalcommons.unl.edu:r-journal-1142","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.unl.edu/r-journal/133","pdf_url":"https://digitalcommons.unl.edu/context/r-journal/article/1142/viewcontent/COMPLIANT_unl_r_journal_1142.pdf","source":{"id":"https://openalex.org/S4306400577","display_name":"Lincoln (University of Nebraska)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114395901","host_organization_name":"University of Nebraska\u2013Lincoln","host_organization_lineage":["https://openalex.org/I114395901"],"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":"The R Journal","raw_type":"text"},{"id":"mag:2966103530","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1908.00618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1908.00618","doi":"https://doi.org/10.48550/arxiv.1908.00618","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.00618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.32614/rj-2021-020","doi":"https://doi.org/10.32614/rj-2021-020","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2021-020","pdf_url":null,"source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/I4402554076","host_organization_name":"R Foundation for Statistical Computing","host_organization_lineage":["https://openalex.org/I4402554076"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1192669028","display_name":null,"funder_award_id":"P30-CA016359","funder_id":"https://openalex.org/F4320312423","funder_display_name":"Yale Cancer Center"},{"id":"https://openalex.org/G1273157147","display_name":null,"funder_award_id":"P30 CA043703","funder_id":"https://openalex.org/F4320310595","funder_display_name":"Case Comprehensive Cancer Center, Case Western Reserve University"},{"id":"https://openalex.org/G5822270753","display_name":null,"funder_award_id":"CA043703","funder_id":"https://openalex.org/F4320310595","funder_display_name":"Case Comprehensive Cancer Center, Case Western Reserve University"}],"funders":[{"id":"https://openalex.org/F4320307105","display_name":"Amgen","ror":"https://ror.org/03g03ge92"},{"id":"https://openalex.org/F4320308380","display_name":"Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320309680","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83"},{"id":"https://openalex.org/F4320310595","display_name":"Case Comprehensive Cancer Center, Case Western Reserve University","ror":"https://ror.org/051fd9666"},{"id":"https://openalex.org/F4320312423","display_name":"Yale Cancer Center","ror":"https://ror.org/03j7sze86"},{"id":"https://openalex.org/F4320332491","display_name":"Raymond and Beverly Sackler Institute for Biological, Physical and Engineering Sciences, Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320332521","display_name":"University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3132285042.pdf","grobid_xml":"https://content.openalex.org/works/W3132285042.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W651652324","https://openalex.org/W2088695439","https://openalex.org/W2137250525","https://openalex.org/W2911438140"],"related_works":["https://openalex.org/W2818471943","https://openalex.org/W4210318668","https://openalex.org/W2944494275","https://openalex.org/W4395083453","https://openalex.org/W7212414639","https://openalex.org/W3048672865","https://openalex.org/W3211147463","https://openalex.org/W4391932167","https://openalex.org/W4315435474","https://openalex.org/W3102162341"],"abstract_inverted_index":{"Basket":[0,30],"designs":[1],"are":[2,7,32,91,154],"prospective":[3],"clinical":[4,37],"trials":[5,31,82,101,123],"that":[6,12,44],"devised":[8],"with":[9,198],"the":[10,13,45,53,56,105,119,161,173,188],"hypothesis":[11],"presence":[14,54],"of":[15,55,88,121,147,160,179,187],"selected":[16],"molecular":[17,58],"features":[18],"determine":[19],"a":[20,25,145],"patient's":[21],"subsequent":[22],"response":[23,162,183],"to":[24,34,39,68,93,104,156],"particular":[26],"\"targeted\"":[27],"treatment":[28],"strategy.":[29],"designed":[33],"enroll":[35],"multiple":[36],"subpopulations":[38,70,199],"which":[40,111],"it":[41],"is":[42,190],"assumed":[43],"therapy":[46],"in":[47,52],"question":[48],"offers":[49],"beneficial":[50],"efficacy":[51,67],"targeted":[57],"profile.":[59],"The":[60,115,185],"treatment,":[61],"however,":[62],"may":[63],"not":[64],"offer":[65],"acceptable":[66],"all":[69,131,165],"enrolled.":[71],"Moreover,":[72],"for":[73,95,108],"rare":[74],"disease":[75],"settings,":[76],"such":[77],"as":[78],"oncology":[79,196],"wherein":[80],"these":[81],"have":[83],"become":[84],"popular,":[85],"marginal":[86],"measures":[87],"statistical":[89],"evidence":[90],"difficult":[92],"interpret":[94],"sparsely":[96],"enrolled":[97],"subpopulations.":[98,151,170],"Consequently,":[99],"basket":[100,122],"pose":[102],"challenges":[103],"traditional":[106],"paradigm":[107],"trial":[109],"design,":[110],"assumes":[112],"inter-patient":[113],"exchangeability.":[114],"R-package":[116],"\\pkg{basket}":[117],"facilitates":[118,140],"analysis":[120],"by":[124,201],"implementing":[125],"multi-source":[126],"exchangeability":[127,134,167],"models.":[128],"By":[129],"evaluating":[130],"possible":[132,166],"pairwise":[133],"relationships,":[135],"this":[136],"hierarchical":[137],"modeling":[138],"framework":[139],"Bayesian":[141],"posterior":[142,158],"shrinkage":[143],"among":[144],"collection":[146],"discrete":[148],"and":[149,164,180],"pre-specified":[150],"Analysis":[152],"functions":[153],"provided":[155],"implement":[157],"inference":[159],"rates":[163],"relationships":[168],"between":[169],"In":[171],"addition,":[172],"package":[174,189],"can":[175],"identify":[176],"\"poolable\"":[177],"subsets":[178],"report":[181],"their":[182],"characteristics.":[184],"functionality":[186],"demonstrated":[191],"using":[192],"data":[193],"from":[194],"an":[195],"study":[197],"defined":[200],"tumor":[202],"histology.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2021-03-01T00:00:00"}