{"id":"https://openalex.org/W2947495138","doi":"https://doi.org/10.1080/03610918.2019.1619765","title":"Algorithms for minimization randomization and the implementation with an R package","display_name":"Algorithms for minimization randomization and the implementation with an R package","publication_year":2019,"publication_date":"2019-05-31","ids":{"openalex":"https://openalex.org/W2947495138","doi":"https://doi.org/10.1080/03610918.2019.1619765","mag":"2947495138"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1619765","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1619765","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"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/A5067383827","display_name":"Man Jin","orcid":"https://orcid.org/0000-0003-3193-4220"},"institutions":[{"id":"https://openalex.org/I1285764155","display_name":"Merck & Co., Inc., Rahway, NJ, USA (United States)","ror":"https://ror.org/02891sr49","country_code":"US","type":"company","lineage":["https://openalex.org/I1285764155"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Man Jin","raw_affiliation_strings":["Merck Research Laboratories, Merck & Co., Inc., Rahway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Merck Research Laboratories, Merck & Co., Inc., Rahway, NJ, USA","institution_ids":["https://openalex.org/I1285764155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110017584","display_name":"Adam B. Polis","orcid":null},"institutions":[{"id":"https://openalex.org/I1285764155","display_name":"Merck & Co., Inc., Rahway, NJ, USA (United States)","ror":"https://ror.org/02891sr49","country_code":"US","type":"company","lineage":["https://openalex.org/I1285764155"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Polis","raw_affiliation_strings":["Merck Research Laboratories, Merck & Co., Inc., North Wales, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Merck Research Laboratories, Merck & Co., Inc., North Wales, PA, USA","institution_ids":["https://openalex.org/I1285764155"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108419618","display_name":"Jonathan Hartzel","orcid":null},"institutions":[{"id":"https://openalex.org/I1285764155","display_name":"Merck & Co., Inc., Rahway, NJ, USA (United States)","ror":"https://ror.org/02891sr49","country_code":"US","type":"company","lineage":["https://openalex.org/I1285764155"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Hartzel","raw_affiliation_strings":["Merck Research Laboratories, Merck & Co., Inc., North Wales, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Merck Research Laboratories, Merck & Co., Inc., North Wales, PA, USA","institution_ids":["https://openalex.org/I1285764155"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067383827"],"corresponding_institution_ids":["https://openalex.org/I1285764155"],"apc_list":null,"apc_paid":null,"fwci":0.2262,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.54625286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"50","issue":"10","first_page":"3077","last_page":"3087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":1.0,"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":1.0,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9940999746322632,"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/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9800999760627747,"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":[{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.7643583416938782},{"id":"https://openalex.org/keywords/randomization","display_name":"Randomization","score":0.7281149625778198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5794417858123779},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5129330158233643},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5062350630760193},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5034012198448181},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49253877997398376},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4765884578227997},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3756071925163269},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32305780053138733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17125490307807922},{"id":"https://openalex.org/keywords/clinical-trial","display_name":"Clinical trial","score":0.15557155013084412},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09785300493240356},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08116486668586731}],"concepts":[{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.7643583416938782},{"id":"https://openalex.org/C204243189","wikidata":"https://www.wikidata.org/wiki/Q1363085","display_name":"Randomization","level":3,"score":0.7281149625778198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5794417858123779},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5129330158233643},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5062350630760193},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5034012198448181},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49253877997398376},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4765884578227997},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3756071925163269},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32305780053138733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17125490307807922},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.15557155013084412},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09785300493240356},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08116486668586731},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1619765","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1619765","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1976668846","https://openalex.org/W2000366267","https://openalex.org/W2011792098","https://openalex.org/W2012796013","https://openalex.org/W2103002891","https://openalex.org/W2108361431","https://openalex.org/W2114306298","https://openalex.org/W2137615852","https://openalex.org/W2467022164"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2051519658","https://openalex.org/W2002304499","https://openalex.org/W2994787386","https://openalex.org/W2014100433","https://openalex.org/W1984364069"],"abstract_inverted_index":{"Randomization":[0],"is":[1,16],"an":[2,70],"established":[3],"process":[4],"to":[5,8,11,24,33,81,105,131],"assign":[6],"participants":[7,37],"treatment":[9,29],"groups":[10,30],"reduce":[12],"selection":[13],"bias.":[14],"Minimization":[15],"a":[17,145],"method":[18],"of":[19,36,92,119,135],"dynamic":[20],"or":[21],"adaptive":[22],"randomization":[23,48],"minimize":[25],"the":[26,34,39,58,61,83,95,102,110,122,133],"imbalance":[27,93,120],"between":[28],"with":[31,49],"respect":[32],"number":[35],"over":[38],"participant\u2019s":[40],"predefined":[41],"covariate":[42],"factors.":[43],"The":[44],"algorithms":[45,140],"for":[46,64],"minimization":[47,76],"equal":[50],"allocation":[51,66,71,84,88,107,111],"ratio":[52,72,85,112],"have":[53,128,141],"been":[54,129,142],"well":[55],"studied":[56],"in":[57,67,144],"literature.":[59],"With":[60],"growing":[62],"demand":[63],"unequal":[65,106],"clinical":[68],"trials,":[69],"preserving":[73],"biased":[74],"coin":[75],"(ARP":[77],"BCM)":[78],"was":[79],"proposed":[80],"preserve":[82],"at":[86,113],"every":[87,114],"step,":[89],"using":[90,116],"measure":[91],"by":[94,121],"range.":[96],"In":[97],"this":[98],"article,":[99],"we":[100],"expand":[101],"ARP":[103],"BCM":[104],"which":[108],"preserves":[109],"allocation,":[115],"more":[117],"measures":[118],"standard":[123],"deviation":[124],"and":[125],"variance.":[126],"Simulations":[127],"conducted":[130],"evaluate":[132],"performance":[134],"these":[136,139],"methods.":[137],"Furthermore,":[138],"implemented":[143],"newly":[146],"developed":[147],"R":[148],"package":[149],"\u2018Minirand\u2019.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
