{"id":"https://openalex.org/W4233519774","doi":"https://doi.org/10.1109/wsc.2017.8247906","title":"Combining bootstrap-based stroke incidence models with discrete event modeling of travel-time and stroke treatment: Non-normal input and non-linear output","display_name":"Combining bootstrap-based stroke incidence models with discrete event modeling of travel-time and stroke treatment: Non-normal input and non-linear output","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W4233519774","doi":"https://doi.org/10.1109/wsc.2017.8247906"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2017.8247906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8247906","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","raw_type":"proceedings-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/A5041551368","display_name":"Kim Rand","orcid":"https://orcid.org/0000-0001-7692-4099"},"institutions":[{"id":"https://openalex.org/I2800192669","display_name":"Akershus University Hospital","ror":"https://ror.org/0331wat71","country_code":"NO","type":"healthcare","lineage":["https://openalex.org/I2800192669"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Kim Rand-Hendriksen","raw_affiliation_strings":["Health Service Research Centre, Akershus University Hospital, NORWAY"],"affiliations":[{"raw_affiliation_string":"Health Service Research Centre, Akershus University Hospital, NORWAY","institution_ids":["https://openalex.org/I2800192669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049611285","display_name":"Joe Viana","orcid":"https://orcid.org/0000-0001-6018-8242"},"institutions":[{"id":"https://openalex.org/I2800192669","display_name":"Akershus University Hospital","ror":"https://ror.org/0331wat71","country_code":"NO","type":"healthcare","lineage":["https://openalex.org/I2800192669"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Joe Viana","raw_affiliation_strings":["Health Service Research Centre, Akershus University Hospital, NORWAY"],"affiliations":[{"raw_affiliation_string":"Health Service Research Centre, Akershus University Hospital, NORWAY","institution_ids":["https://openalex.org/I2800192669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040631542","display_name":"Fredrik A. Dahl","orcid":"https://orcid.org/0000-0002-6835-0985"},"institutions":[{"id":"https://openalex.org/I2800192669","display_name":"Akershus University Hospital","ror":"https://ror.org/0331wat71","country_code":"NO","type":"healthcare","lineage":["https://openalex.org/I2800192669"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Fredrik Dahl","raw_affiliation_strings":["Health Service Research Centre, Akershus University Hospital, NORWAY"],"affiliations":[{"raw_affiliation_string":"Health Service Research Centre, Akershus University Hospital, NORWAY","institution_ids":["https://openalex.org/I2800192669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041551368"],"corresponding_institution_ids":["https://openalex.org/I2800192669"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79359431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1670","last_page":"1679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9957000017166138,"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":0.9957000017166138,"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/T10391","display_name":"Healthcare Policy and Management","score":0.9782000184059143,"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/bootstrapping","display_name":"Bootstrapping (finance)","score":0.8145771026611328},{"id":"https://openalex.org/keywords/poisson-regression","display_name":"Poisson regression","score":0.5992458462715149},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.50002121925354},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4897482395172119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48879334330558777},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4814107418060303},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.47070667147636414},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4669331908226013},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4445266127586365},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4363539218902588},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4329882264137268},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.4246048927307129},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.41108086705207825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31834110617637634},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.30953243374824524},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11719471216201782},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1046522855758667}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.8145771026611328},{"id":"https://openalex.org/C73269764","wikidata":"https://www.wikidata.org/wiki/Q954529","display_name":"Poisson regression","level":3,"score":0.5992458462715149},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.50002121925354},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4897482395172119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48879334330558777},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4814107418060303},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.47070667147636414},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4669331908226013},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4445266127586365},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4363539218902588},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4329882264137268},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.4246048927307129},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.41108086705207825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31834110617637634},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.30953243374824524},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11719471216201782},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1046522855758667},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2017.8247906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8247906","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1985177747","https://openalex.org/W2121300729","https://openalex.org/W2153310220","https://openalex.org/W2525289799","https://openalex.org/W3151301356","https://openalex.org/W4230385673","https://openalex.org/W4248915906","https://openalex.org/W6728038801"],"related_works":["https://openalex.org/W2503331259","https://openalex.org/W1590941618","https://openalex.org/W3096804274","https://openalex.org/W2509788866","https://openalex.org/W3134844154","https://openalex.org/W3200250056","https://openalex.org/W2385896179","https://openalex.org/W2150462512","https://openalex.org/W2885596111","https://openalex.org/W2270206682"],"abstract_inverted_index":{"Incidence":[0],"rates":[1,14,32],"in":[2,39,67,129,143],"simulation":[3,84,131],"models":[4],"are":[5,33],"often":[6],"assumed":[7],"to":[8,120,134,141],"stem":[9],"from":[10,41,90,107],"Poisson":[11],"processes,":[12],"with":[13,124],"based":[15],"on":[16],"analyses":[17],"of":[18,26,72],"real-life":[19],"data.":[20],"In":[21],"cases":[22],"where":[23],"the":[24,35,48,51,70,83,91,103,108],"record":[25],"data":[27,100],"is":[28,80,86,95],"limited,":[29],"or":[30],"observed":[31],"low,":[34],"stochastic":[36],"process":[37],"involved":[38],"sampling":[40,89,106],"modeled":[42],"distributions":[43],"may":[44],"not":[45],"adequately":[46],"reflect":[47],"uncertainty":[49],"around":[50],"estimated":[52],"input":[53],"parameters.":[54],"We":[55,111],"present":[56],"a":[57,77,130],"conceptually":[58],"simple,":[59],"but":[60],"computationally":[61],"demanding,":[62],"method":[63],"for":[64,74,101],"generating":[65],"variance":[66],"incidence":[68],"through":[69],"use":[71],"bootstrapping;":[73],"each":[75],"subsample,":[76],"regression":[78],"model":[79,85,132],"fitted,":[81],"and":[82,105,127,139],"run":[87],"repeatedly":[88],"fitted":[92,109],"model.":[93,110],"Stochasticity":[94],"introduced":[96],"at":[97],"two":[98],"levels;":[99],"fitting":[102],"regression,":[104],"illustrate":[112],"this":[113],"hybrid":[114],"approach":[115],"using":[116],"Norwegian":[117],"stroke":[118,122,145],"records":[119],"generate":[121],"incidences":[123],"age,":[125],"sex,":[126],"location,":[128],"made":[133],"analyze":[135],"travel":[136],"time,":[137],"queuing,":[138],"time":[140],"treatment":[142],"regional":[144],"units.":[146]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}