乐胖代购免代理版

{"id":"https://openalex.org/W3214236636","doi":"https://doi.org/10.1287/mnsc.2021.4137","title":"Bayesian Sequential Learning for Clinical Trials of Multiple Correlated Medical Interventions","display_name":"Bayesian Sequential Learning for Clinical Trials of Multiple Correlated Medical Interventions","publication_year":2021,"publication_date":"2021-11-05","ids":{"openalex":"https://openalex.org/W3214236636","doi":"https://doi.org/10.1287/mnsc.2021.4137","mag":"3214236636"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1287/mnsc.2021.4137","pdf_url":null,"source":{"id":"https://openalex.org/S33323087","display_name":"Management Science","issn_l":"0025-1909","issn":["0025-1909","1526-5501"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5033256132","display_name":"Stephen E. Chick","orcid":"https://orcid.org/0000-0002-8026-1571"},"institutions":[{"id":"https://openalex.org/I102272798","display_name":"INSEAD","ror":"https://ror.org/00ghzk478","country_code":"FR","type":"education","lineage":["https://openalex.org/I102272798"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stephen E. Chick","raw_affiliation_strings":["Technology & Operations Management Area, INSEAD, 77305 Fontainebleau, France;"],"affiliations":[{"raw_affiliation_string":"Technology & Operations Management Area, INSEAD, 77305 Fontainebleau, France;","institution_ids":["https://openalex.org/I102272798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078369143","display_name":"Noah Gans","orcid":"https://orcid.org/0000-0002-5839-7122"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"funder","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah Gans","raw_affiliation_strings":["Operations, Information and Decisions Department, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104;"],"affiliations":[{"raw_affiliation_string":"Operations, Information and Decisions Department, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104;","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070829022","display_name":"\u00d6zge Yapar","orcid":"https://orcid.org/0000-0002-4208-9221"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210119109","https://openalex.org/I4407990318","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"\u00d6zge Yapar","raw_affiliation_strings":["Operations & Decision Technologies Department, Kelley School of Business, Indiana University, Bloomington, Indiana 47405"],"affiliations":[{"raw_affiliation_string":"Operations & Decision Technologies Department, Kelley School of Business, Indiana University, Bloomington, Indiana 47405","institution_ids":["https://openalex.org/I4210119109"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.434,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.999981,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"68","issue":"7","first_page":"4919","last_page":"4938"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9983,"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/T11792","display_name":"Pharmaceutical Economics and Policy","score":0.9966,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55585575},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5386659},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.53283966},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49233806},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4808446},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.47818974},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40793422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23407462},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1795983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14317134},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11974156},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.10643536},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1287/mnsc.2021.4137","pdf_url":null,"source":{"id":"https://openalex.org/S33323087","display_name":"Management Science","issn_l":"0025-1909","issn":["0025-1909","1526-5501"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":52,"referenced_works":["https://openalex.org/W1503234831","https://openalex.org/W1896672467","https://openalex.org/W1924796615","https://openalex.org/W1926357153","https://openalex.org/W1973002971","https://openalex.org/W1999185223","https://openalex.org/W2001203833","https://openalex.org/W2002069093","https://openalex.org/W2024484688","https://openalex.org/W2030706697","https://openalex.org/W2038369588","https://openalex.org/W2042332971","https://openalex.org/W2045588083","https://openalex.org/W2057564132","https://openalex.org/W2073673004","https://openalex.org/W2090049313","https://openalex.org/W2099434565","https://openalex.org/W2100851059","https://openalex.org/W2108247235","https://openalex.org/W2110674418","https://openalex.org/W2134179807","https://openalex.org/W2141724682","https://openalex.org/W2144694569","https://openalex.org/W2150291618","https://openalex.org/W2155927283","https://openalex.org/W2217862056","https://openalex.org/W2273267066","https://openalex.org/W2311178916","https://openalex.org/W2330412569","https://openalex.org/W2484571116","https://openalex.org/W2499226730","https://openalex.org/W2519918803","https://openalex.org/W2526051401","https://openalex.org/W2540247333","https://openalex.org/W2543303947","https://openalex.org/W2596504658","https://openalex.org/W2596575759","https://openalex.org/W2598454364","https://openalex.org/W2605279112","https://openalex.org/W2791498037","https://openalex.org/W2794472813","https://openalex.org/W2906375018","https://openalex.org/W2910130757","https://openalex.org/W2964339265","https://openalex.org/W2983623050","https://openalex.org/W2991409330","https://openalex.org/W3008073826","https://openalex.org/W3016967565","https://openalex.org/W3121380969","https://openalex.org/W3124121179","https://openalex.org/W4211049957","https://openalex.org/W4302380368"],"related_works":["https://openalex.org/W4388813866","https://openalex.org/W4293088233","https://openalex.org/W4243140484","https://openalex.org/W3152660226","https://openalex.org/W3082212156","https://openalex.org/W2900068172","https://openalex.org/W2496077116","https://openalex.org/W2238030311","https://openalex.org/W2166644286","https://openalex.org/W1982842519"],"abstract_inverted_index":{"We":[0,107],"propose":[1],"and":[2,39,54,80,114,124,141,167,184,200,218,243],"analyze":[3],"the":[4,21,36,94,111,122,168,185,209,228,238],"first":[5],"model":[6,211],"for":[7,143,208],"clinical":[8,24,104],"trial":[9,47,105,118],"design":[10,119],"that":[11,26,83,109,135,149,163,213],"integrates":[12],"each":[13],"of":[14,23,41,62,69,87,99,126,171,173,187,206,231,240,245],"three":[15],"important":[16],"trends":[17],"intending":[18],"to":[19,43,74,81,92,117,139],"improve":[20],"effectiveness":[22],"trials":[25,79,82,128,207,232],"inform":[27],"health-technology":[28,100],"adoption":[29,101],"decisions:":[30],"adaptive":[31,131],"design,":[32,48,56],"which":[33,49,57],"dynamically":[34],"adjusts":[35],"sample":[37],"size":[38],"allocation":[40],"interventions":[42,52,64],"different":[44,190],"patients;":[45],"multiarm":[46,127],"compares":[50],"multiple":[51,85],"simultaneously;":[53],"value-based":[55,115],"focuses":[58],"on":[59,137,157],"cost-benefit":[60],"improvements":[61],"health":[63],"over":[65],"a":[66],"current":[67],"standard":[68],"care.":[70],"Example":[71],"applications":[72],"are":[73,216],"seamless":[75],"phase":[76],"II/III":[77],"dose-finding":[78],"test":[84],"combinations":[86],"therapies.":[88],"Our":[89,193],"objective":[90],"is":[91],"maximize":[93],"expected":[95,169],"population":[96],"health-economic":[97,214],"benefit":[98],"decisions":[102],"less":[103],"costs.":[106,192],"show":[108],"unifying":[110],"adaptive,":[112],"multiarm,":[113],"approaches":[116],"can":[120,196,201,226],"reduce":[121],"cost":[123],"duration":[125,235],"with":[129,233],"efficient":[130],"look":[132],"ahead":[133],"policies":[134],"focus":[136],"value":[138,170],"patients":[140],"account":[142],"correlated":[144],"rewards":[145],"across":[146],"arms.":[147],"Features":[148],"differentiate":[150],"our":[151],"approach":[152],"from":[153,223],"much":[154],"other":[155],"work":[156,222],"stochastic":[158],"optimization":[159,225],"include":[160],"stopping":[161],"times":[162],"balance":[164],"sampling":[165,191],"costs":[166],"information":[172],"those":[174],"samples,":[175],"performance":[176],"guarantees":[177],"offered":[178],"by":[179,251],"new":[180],"asymptotic":[181],"convergence":[182],"proofs,":[183],"modeling":[186],"arms\u2019":[188],"potentially":[189],"proposed":[194],"solution":[195],"be":[197],"computed":[198],"feasibly":[199],"randomize":[202],"patients.":[203],"The":[204],"class":[205],"base":[210],"assumes":[212],"data":[215],"collected":[217],"observed":[219],"quickly.":[220],"Related":[221],"Bayesian":[224],"enable":[227],"further":[229],"inclusion":[230],"intermediate":[234],"delays":[236],"between":[237],"time":[239],"treatment":[241],"initiation":[242],"observation":[244],"outcomes.":[246],"This":[247],"paper":[248],"was":[249],"accepted":[250],"Stefan":[252],"Scholtes,":[253],"healthcare":[254],"management.":[255]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3214236636","counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-04-06T20:45:13.988554","created_date":"2021-11-22"}