{"id":"https://openalex.org/W4312127779","doi":"https://doi.org/10.1080/03610918.2022.2155307","title":"Sequential monitoring clinical trial by conditional power under drift fractional Brownian motion","display_name":"Sequential monitoring clinical trial by conditional power under drift fractional Brownian motion","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4312127779","doi":"https://doi.org/10.1080/03610918.2022.2155307"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2155307","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2155307","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/A5090377375","display_name":"Leixin Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leixin Xia","raw_affiliation_strings":["Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049552415","display_name":"Baojiang Chen","orcid":"https://orcid.org/0000-0002-9683-9390"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baojiang Chen","raw_affiliation_strings":["Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059257496","display_name":"Dejian Lai","orcid":"https://orcid.org/0000-0003-1927-8021"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dejian Lai","raw_affiliation_strings":["Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059257496"],"corresponding_institution_ids":["https://openalex.org/I919571938"],"apc_list":null,"apc_paid":null,"fwci":0.2431,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59652987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"53","issue":"10","first_page":"4676","last_page":"4684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.988099992275238,"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":0.988099992275238,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9523000121116638,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/fractional-brownian-motion","display_name":"Fractional Brownian motion","score":0.7765939831733704},{"id":"https://openalex.org/keywords/brownian-motion","display_name":"Brownian motion","score":0.5493454933166504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45929092168807983},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45048168301582336},{"id":"https://openalex.org/keywords/geometric-brownian-motion","display_name":"Geometric Brownian motion","score":0.44373318552970886},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.42040809988975525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34355247020721436},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3400364816188812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.316571444272995},{"id":"https://openalex.org/keywords/diffusion-process","display_name":"Diffusion process","score":0.2841583490371704},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2052081823348999},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.08189964294433594}],"concepts":[{"id":"https://openalex.org/C108819105","wikidata":"https://www.wikidata.org/wiki/Q1143293","display_name":"Fractional Brownian motion","level":3,"score":0.7765939831733704},{"id":"https://openalex.org/C112401455","wikidata":"https://www.wikidata.org/wiki/Q178036","display_name":"Brownian motion","level":2,"score":0.5493454933166504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45929092168807983},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45048168301582336},{"id":"https://openalex.org/C101615488","wikidata":"https://www.wikidata.org/wiki/Q1503307","display_name":"Geometric Brownian motion","level":4,"score":0.44373318552970886},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.42040809988975525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34355247020721436},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3400364816188812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.316571444272995},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.2841583490371704},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2052081823348999},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.08189964294433594},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C3017618536","wikidata":"https://www.wikidata.org/wiki/Q304994","display_name":"Innovation diffusion","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2155307","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2155307","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":[{"id":"https://metadata.un.org/sdg/13","score":0.41999998688697815,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308129","display_name":"Cancer Prevention and Research Institute of Texas","ror":"https://ror.org/0003xa228"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1980052090","https://openalex.org/W1994263044","https://openalex.org/W1996556049","https://openalex.org/W2021092563","https://openalex.org/W2031753087","https://openalex.org/W2031991866","https://openalex.org/W2054020692","https://openalex.org/W2077597832","https://openalex.org/W2146448113","https://openalex.org/W2971857975","https://openalex.org/W4244341064","https://openalex.org/W4299784281","https://openalex.org/W6844241875"],"related_works":["https://openalex.org/W1991825559","https://openalex.org/W2028141921","https://openalex.org/W2781857324","https://openalex.org/W2164187878","https://openalex.org/W2964288474","https://openalex.org/W1967513875","https://openalex.org/W1580504661","https://openalex.org/W2950033537","https://openalex.org/W4301032146","https://openalex.org/W1673226802"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"using":[3],"conditional":[4,82,117],"power,":[5],"we":[6],"extended":[7],"the":[8,65,100,116,120,129],"widely":[9],"used":[10,95],"classical":[11,58],"Brownian":[12,29,61,68],"motion":[13,30,69],"(Bm)":[14],"technique":[15],"for":[16,80,88],"monitoring":[17,72],"clinical":[18,74,97],"trial":[19],"data":[20],"to":[21,43,54],"a":[22,40,78],"larger":[23],"class":[24],"of":[25,73],"stochastic":[26],"processes":[27],"fractional":[28,60,67],"(fBm)":[31],"with":[32,99,140],"drift,":[33],"and":[34,59,76,106,136],"compare":[35],"these":[36],"results.":[37,143],"We":[38,63,91],"applied":[39],"Bayesian":[41],"method":[42],"estimate":[44],"parameters.":[45],"The":[46],"simulation":[47,112],"study":[48,113],"is":[49,123],"presented":[50],"as":[51],"an":[52,85],"example":[53],"illustrate":[55],"scenarios":[56],"under":[57,84,119,128],"motion.":[62],"demonstrated":[64],"drift":[66],"in":[70,96],"sequential":[71],"trials":[75],"provided":[77],"formula":[79],"calculating":[81],"power":[83,118],"alternative":[86],"hypothesis":[87],"interim":[89],"analysis.":[90],"investigated":[92],"cases":[93],"commonly":[94],"trials,":[98],"Hurst":[101],"parameter":[102],"H":[103,107,133],"=":[104],"0.5":[105,135],">":[108,134],"0.5,":[109],"respectively.":[110],"Our":[111],"suggests":[114],"that":[115,127],"fBm":[121],"assumption":[122,131],"generally":[124],"higher":[125],"than":[126],"Bm":[130],"when":[132],"also":[137],"matches":[138],"better":[139],"our":[141],"empirical":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}