{"id":"https://openalex.org/W4399526410","doi":"https://doi.org/10.32614/cran.package.basket","title":"basket: Basket Trial Analysis","display_name":"basket: Basket Trial Analysis","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W4399526410","doi":"https://doi.org/10.32614/cran.package.basket"},"language":"en","primary_location":{"id":"doi:10.32614/cran.package.basket","doi":"https://doi.org/10.32614/cran.package.basket","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.basket","pdf_url":"https://cran.r-project.org/web/packages/basket/basket.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://cran.r-project.org/web/packages/basket/basket.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100442866","display_name":"Nan Chen","orcid":"https://orcid.org/0000-0003-2495-5234","observed_orcids":["https://orcid.org/0000-0003-2495-5234"]},"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/A5002744671","display_name":"Brian Paul Hobbs","orcid":"https://orcid.org/0000-0003-2189-5846","observed_orcids":["https://orcid.org/0000-0003-2189-5846"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Hobbs","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043681011","display_name":"Alexander M. Kaizer","orcid":"https://orcid.org/0000-0003-2334-5514","observed_orcids":["https://orcid.org/0000-0003-2334-5514"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Kaizer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084276871","display_name":"Michael J. Kane","orcid":"https://orcid.org/0000-0003-1899-6662","observed_orcids":["https://orcid.org/0000-0003-1899-6662"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael J. Kane","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1899-6662","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9814000129699707,"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":0.9814000129699707,"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":0.01360000018030405,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.0005000000237487257,"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/basket-trials","display_name":"basket trials","score":0.9150000214576721},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.796999990940094},{"id":"https://openalex.org/keywords/highest-posterior-density-intervals","display_name":"highest posterior density intervals","score":0.8069999814033508},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.5270000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4368986487388611}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/cran.package.basket","doi":"https://doi.org/10.32614/cran.package.basket","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.basket","pdf_url":"https://cran.r-project.org/web/packages/basket/basket.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.32614/cran.package.basket","doi":"https://doi.org/10.32614/cran.package.basket","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.basket","pdf_url":"https://cran.r-project.org/web/packages/basket/basket.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399526410.pdf","grobid_xml":"https://content.openalex.org/works/W4399526410.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1846586690","https://openalex.org/W2788359896","https://openalex.org/W2818471943","https://openalex.org/W2896543265","https://openalex.org/W3132285042"],"related_works":["https://openalex.org/W3132285042","https://openalex.org/W4399883358","https://openalex.org/W4210318668","https://openalex.org/W4399587976","https://openalex.org/W3089273064","https://openalex.org/W3011378455","https://openalex.org/W3131540086","https://openalex.org/W3154432531","https://openalex.org/W4411403585","https://openalex.org/W2980905132"],"abstract_inverted_index":{"Implementation":[0],"of":[1,8,15,27],"multisource":[2],"exchangeability":[3,32,75,114],"models":[4],"for":[5,94,97],"Bayesian":[6],"analyses":[7,96],"prespecified":[9],"subgroups":[10,99],"arising":[11,38],"in":[12],"the":[13,28,89,112],"context":[14],"basket":[16,127],"trial":[17],"design":[18],"and":[19,43,71,78,128,158,165,176,181,186],"monitoring.":[20],"The":[21],"R":[22,160],"'basket'":[23],"package":[24,90],"facilitates":[25],"implementation":[26],"binary,":[29],"symmetric":[30],"multi-source":[31],"model":[33],"(MEM)":[34],"with":[35],"posterior":[36,53,58,61,74,113],"inference":[37],"from":[39],"both":[40],"exact":[41],"computation":[42],"Markov":[44],"chain":[45],"Monte":[46],"Carlo":[47],"sampling.":[48],"Analysis":[49],"output":[50],"includes":[51,91],"full":[52],"samples":[54],"as":[55,57,116,131,133],"well":[56,132],"probabilities,":[59],"highest":[60],"density":[62],"(HPD)":[63],"interval":[64],"boundaries,":[65],"effective":[66],"sample":[67],"sizes":[68],"(ESS),":[69],"mean":[70],"median":[72],"estimations,":[73],"probability":[76],"matrices,":[77],"maximum":[79],"a":[80],"posteriori":[81],"MEMs.":[82],"In":[83,119],"addition":[84,120],"to":[85,125],"providing":[86],"\"basketwise\"":[87],"analyses,":[88],"similar":[92],"calculations":[93],"\"clusterwise\"":[95],"which":[98],"are":[100,123],"combined":[101],"into":[102],"meta-baskets,":[103],"or":[104],"clusters,":[105],"using":[106],"graphical":[107],"clustering":[108],"algorithms":[109],"that":[110],"treat":[111],"probabilities":[115],"edge":[117],"weights.":[118],"plotting":[121],"tools":[122],"provided":[124],"visualize":[126],"cluster":[129],"densities":[130],"their":[134],"exchangeability.":[135],"References":[136],"include":[137],"Hyman,":[138],"D.M.,":[139],"Puzanov,":[140],"I.,":[141,147],"Subbiah,":[142],"V.,":[143],"Faris,":[144],"J.E.,":[145],"Chau,":[146],"Blay,":[148],"J.Y.,":[149],"Wolf,":[150],"J.,":[151],"Raje,":[152],"N.S.,":[153],"Diamond,":[154],"E.L.,":[155],"Hollebecque,":[156],"A.":[157],"Gervais,":[159],"(2015)":[161],"<doi:10.1056/NEJMoa1502309>;":[162],"Hobbs,":[163,170,187],"B.P.":[164,188],"Landin,":[166,177],"R.":[167,178],"(2018)":[168,179],"<doi:10.1002/sim.7893>;":[169],"B.P.,":[171],"Kane,":[172],"M.J.,":[173],"Hong,":[174],"D.S.":[175],"<doi:10.1093/annonc/mdy457>;":[180],"Kaizer,":[182],"A.M.,":[183],"Koopmeiners,":[184],"J.S.":[185],"(2017)":[189],"<doi:10.1093/biostatistics/kxx031>.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2024-06-12T00:00:00"}
