{"id":"https://openalex.org/W176889466","doi":null,"title":"Bayesian estimation of the time of a linear trend in risk-adjusted control charts","display_name":"Bayesian estimation of the time of a linear trend in risk-adjusted control charts","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W176889466","mag":"176889466"},"language":"en","primary_location":{"id":"mag:176889466","doi":null,"is_oa":false,"landing_page_url":"http://www.iaeng.org/IJCS/issues_v38/issue_4/IJCS_38_4_11.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306512556","display_name":"IAENG international journal of computer science","issn_l":"1819-656X","issn":["1819-656X","1819-9224"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"IAENG international journal of computer science","raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5031852967","display_name":"Hassan Assareh","orcid":"https://orcid.org/0000-0001-7404-8144","observed_orcids":["https://orcid.org/0000-0001-7404-8144"]},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hassan Assareh","raw_affiliation_strings":["Queensland University of Technology"],"raw_orcid":"https://orcid.org/0000-0001-7404-8144","affiliations":[{"raw_affiliation_string":"Queensland University of Technology","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":null,"display_name":"I. Smith","orcid":"https://orcid.org/0000-0001-9784-0855","observed_orcids":["https://orcid.org/0000-0001-9784-0855"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"I. Smith","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9784-0855","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001588690","display_name":"Kerrie Lee Mengersen","orcid":"https://orcid.org/0000-0001-8625-9168","observed_orcids":["https://orcid.org/0000-0001-8625-9168"]},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kerrie Mengersen","raw_affiliation_strings":["Queensland University of Technology"],"raw_orcid":"https://orcid.org/0000-0001-8625-9168","affiliations":[{"raw_affiliation_string":"Queensland University of Technology","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6783,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76309935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12871","display_name":"Healthcare Quality and Management","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-point-detection","display_name":"change point detection","score":0.9380000233650208},{"id":"https://openalex.org/keywords/linear-trend-estimation","display_name":"linear trend estimation","score":0.7699999809265137},{"id":"https://openalex.org/keywords/risk-adjusted-control-charts","display_name":"risk-adjusted control charts","score":0.9409999847412109},{"id":"https://openalex.org/keywords/cusum-control-chart","display_name":"CUSUM control chart","score":0.8009999990463257},{"id":"https://openalex.org/keywords/ewma-control-chart","display_name":"EWMA control chart","score":0.9990000128746033},{"id":"https://openalex.org/keywords/bayesian-hierarchical-model","display_name":"Bayesian hierarchical model","score":0.6380000114440918},{"id":"https://openalex.org/keywords/bernoulli-process","display_name":"Bernoulli process","score":0.8149999976158142},{"id":"https://openalex.org/keywords/odds-ratio","display_name":"odds ratio","score":0.8230000138282776},{"id":"https://openalex.org/keywords/hospital-quality-monitoring","display_name":"hospital quality monitoring","score":0.6000000238418579},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"root cause analysis","score":0.7940000295639038},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8659999966621399}],"concepts":[{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.7298333644866943},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5900568962097168},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5660074949264526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5427139401435852},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.5166757106781006},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.5085824728012085},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.49840784072875977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4919752776622772},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.41277194023132324},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40098047256469727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39481353759765625},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.23082494735717773},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:176889466","doi":null,"is_oa":false,"landing_page_url":"http://www.iaeng.org/IJCS/issues_v38/issue_4/IJCS_38_4_11.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306512556","display_name":"IAENG international journal of computer science","issn_l":"1819-656X","issn":["1819-656X","1819-9224"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"IAENG international journal of computer science","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W68784095","https://openalex.org/W129305155","https://openalex.org/W135258734","https://openalex.org/W146715701","https://openalex.org/W617886812","https://openalex.org/W1965397666","https://openalex.org/W1971797249","https://openalex.org/W2000884317","https://openalex.org/W2007681875","https://openalex.org/W2011739425","https://openalex.org/W2013267837","https://openalex.org/W2031225581","https://openalex.org/W2039552691","https://openalex.org/W2051903196","https://openalex.org/W2073184177","https://openalex.org/W2080029308","https://openalex.org/W2102386709","https://openalex.org/W2107847131","https://openalex.org/W2107978811","https://openalex.org/W2109802067","https://openalex.org/W2114108443","https://openalex.org/W2135832648","https://openalex.org/W2152908903","https://openalex.org/W2154201498","https://openalex.org/W2157113895","https://openalex.org/W2157202423","https://openalex.org/W2165241396","https://openalex.org/W2323764571","https://openalex.org/W2335620844","https://openalex.org/W2474476351","https://openalex.org/W2796272040"],"related_works":["https://openalex.org/W68784095","https://openalex.org/W2000355354","https://openalex.org/W2044382668","https://openalex.org/W2342501697","https://openalex.org/W2165198465","https://openalex.org/W2335620844","https://openalex.org/W176593997","https://openalex.org/W1966395532","https://openalex.org/W2560669210","https://openalex.org/W146715701"],"abstract_inverted_index":{"Change":[0],"point":[1,103,193],"detection":[2,194],"is":[3,81,124],"recognized":[4],"as":[5,17],"an":[6,51],"essential":[7],"tool":[8],"of":[9,27,40,59,77,100,109,120,157,189],"root":[10],"cause":[11],"analyses":[12],"within":[13],"quality":[14],"control":[15,150],"programs":[16],"it":[18],"enables":[19],"clinical":[20,53],"experts":[21],"to":[22,96],"search":[23],"for":[24,152],"potential":[25],"causes":[26],"disturbance":[28,47],"in":[29,50,56,73,86,142],"hospital":[30],"outcomes":[31],"more":[32],"effectively.":[33],"In":[34,160],"this":[35],"paper,":[36],"we":[37],"consider":[38],"estimation":[39],"the":[41,57,65,74,101,121,129,145,176,190],"time":[42],"when":[43,138,183],"a":[44,70,78,87],"linear":[45,71],"trend":[46,72],"has":[48],"occurred":[49],"in-control":[52],"dichotomous":[54],"process":[55,66,80],"presence":[58],"variable":[60],"patient":[61],"mix.":[62],"To":[63],"model":[64,195],"and":[67,107,111,116,128,148,155,165,170,187],"change":[68,102,158,192],"point,":[69],"odds":[75],"ratio":[76],"Bernoulli":[79],"formulated":[82],"using":[83],"hierarchical":[84],"models":[85],"Bayesian":[88,122,177,191],"framework.":[89],"We":[90],"use":[91],"Markov":[92],"Chain":[93],"Monte":[94],"Carlo":[95],"obtain":[97],"posterior":[98],"distributions":[99],"parameters":[104],"including":[105],"location":[106],"magnitude":[108,154],"changes":[110],"also":[112,197],"corresponding":[113],"probabilistic":[114],"intervals":[115],"inferences.":[117],"The":[118],"performance":[119],"estimator":[123],"investigated":[125],"through":[126],"simulations":[127],"result":[130],"shows":[131],"that":[132],"precise":[133,171],"estimates":[134,172],"can":[135],"be":[136],"obtained":[137,174],"they":[139],"are":[140,173,181,196],"used":[141],"conjunction":[143],"with":[144,162],"riskadjusted":[146],"CUSUM":[147,166],"EWMA":[149,164],"charts":[151],"different":[153],"direction":[156],"scenarios.":[159],"comparison":[161],"alternative":[163],"estimators,":[167],"reasonably":[168],"accurate":[169],"by":[175],"estimator.":[178],"These":[179],"superiorities":[180],"enhanced":[182],"probability":[184],"quantification,":[185],"flexibility":[186],"generalizability":[188],"considered.":[198]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}