{"id":"https://openalex.org/W4388674309","doi":"https://doi.org/10.1109/bhi58575.2023.10313496","title":"Estimating Treatment Effects Using Costly Simulation Samples from a Population-Scale Model of Opioid Use Disorder","display_name":"Estimating Treatment Effects Using Costly Simulation Samples from a Population-Scale Model of Opioid Use Disorder","publication_year":2023,"publication_date":"2023-10-15","ids":{"openalex":"https://openalex.org/W4388674309","doi":"https://doi.org/10.1109/bhi58575.2023.10313496"},"language":"en","primary_location":{"id":"doi:10.1109/bhi58575.2023.10313496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi58575.2023.10313496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067002559","display_name":"Abdulrahman A. Ahmed","orcid":"https://orcid.org/0000-0002-8736-8160"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdulrahman A. Ahmed","raw_affiliation_strings":["University of Pittsburgh,Dept. of Industrial Engineering,Pittsburgh,PA,USA","Dept. of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh,Dept. of Industrial Engineering,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101965763","display_name":"M. Amin Rahimian","orcid":"https://orcid.org/0000-0001-9384-1041"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Amin Rahimian","raw_affiliation_strings":["University of Pittsburgh,Dept. of Industrial Engineering,Pittsburgh,PA,USA","Dept. of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh,Dept. of Industrial Engineering,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043740961","display_name":"Mark S. Roberts","orcid":"https://orcid.org/0000-0002-8277-0425"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark S. Roberts","raw_affiliation_strings":["University of Pittsburgh,Dept. of Health Policy and Management,Pittsburgh,PA,USA","Dept. of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh,Dept. of Health Policy and Management,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Dept. of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":3.0143,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92967095,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T14509","display_name":"demographic modeling and climate adaptation","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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":0.9664000272750854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334304213523865},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5436115264892578},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4885502755641937},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4658333659172058},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45217233896255493},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.43005362153053284},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4243744909763336},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30920541286468506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2027856707572937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334304213523865},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5436115264892578},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4885502755641937},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4658333659172058},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45217233896255493},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.43005362153053284},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4243744909763336},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30920541286468506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2027856707572937},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi58575.2023.10313496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi58575.2023.10313496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310174","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305"},{"id":"https://openalex.org/F4320332162","display_name":"Centers for Disease Control and Prevention","ror":"https://ror.org/042twtr12"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1591505807","https://openalex.org/W1995395876","https://openalex.org/W2014018052","https://openalex.org/W2099201756","https://openalex.org/W2336004836","https://openalex.org/W2890298149","https://openalex.org/W2903158431","https://openalex.org/W3031514878","https://openalex.org/W4366981273","https://openalex.org/W4391409090","https://openalex.org/W6756615331"],"related_works":["https://openalex.org/W3086618278","https://openalex.org/W1517908938","https://openalex.org/W2016188383","https://openalex.org/W2281834912","https://openalex.org/W2077108008","https://openalex.org/W2006100586","https://openalex.org/W4300809132","https://openalex.org/W1489941249","https://openalex.org/W2793335702","https://openalex.org/W3123492739"],"abstract_inverted_index":{"Large-scale":[0],"models":[1],"require":[2,19],"substantial":[3],"computational":[4,41,229],"resources":[5,24,42],"for":[6,43,60,93,111,160,198],"analysis":[7],"and":[8,100,234,247],"studying":[9],"treatment":[10,14,29,45,98,101,113,126,162,191,200,206,225],"conditions.":[11,102,212],"Specifically,":[12],"estimating":[13,44,112],"effects":[15,207,226],"using":[16,73],"simulations":[17,89],"may":[18],"a":[20,70,74,91,135,181,199,221],"lot":[21],"of":[22,132,139,152,168,224,237,244,258],"infeasible":[23],"to":[25,35,39,51,121,148,187],"allocate":[26,40],"at":[27,241],"every":[28],"condition.":[30],"Therefore,":[31],"it":[32],"is":[33,64],"essential":[34],"develop":[36],"efficient":[37],"methods":[38,110,218],"effects.":[46,114],"Agent-based":[47],"simulation":[48,55,140,153,195],"allows":[49,185],"us":[50,186],"generate":[52],"highly":[53],"realistic":[54],"samples.":[56],"FRED":[57,88],"(A":[58],"Framework":[59],"Reconstructing":[61],"Epidemiological":[62],"Dynamics)":[63],"an":[65,129],"agent-based":[66],"modeling":[67],"system":[68],"with":[69,134,227],"geospatial":[71],"perspective":[72],"synthetic":[75,86],"population":[76],"constructed":[77],"based":[78,164],"on":[79,165],"the":[80,116,143,150,166,172,176,190,216,242,248,256,267],"U.S.":[81],"census":[82],"data.":[83],"Given":[84],"its":[85],"population,":[87],"present":[90],"baseline":[92],"comparable":[94,222],"results":[95],"from":[96],"different":[97],"conditions":[99,127,192],"In":[103,115,142,175],"this":[104],"paper,":[105],"we":[106,119,146,179],"show":[107,214],"three":[108],"other":[109,209],"first":[117],"method,":[118,145,178],"resort":[120],"brute-force":[122],"allocation,":[123],"where":[124],"all":[125],"have":[128],"equal":[130],"number":[131,138,151,257],"samples":[133,158,196],"relatively":[136],"large":[137],"runs.":[141],"second":[144],"try":[147],"reduce":[149],"runs":[154],"by":[155,254],"customizing":[156],"individual":[157],"required":[159],"each":[161],"effect":[163],"width":[167],"confidence":[169],"intervals":[170],"around":[171],"mean":[173],"estimates.":[174],"third":[177],"use":[180],"regression":[182,268],"model,":[183],"which":[184],"learn":[188],"across":[189],"such":[193],"that":[194,215],"allocated":[197],"condition":[201],"will":[202],"help":[203],"better":[204],"estimate":[205,223],"in":[208,220,266],"(especially":[210],"nearby)":[211],"We":[213],"regression-based":[217],"result":[219],"less":[228],"resources.":[230],"The":[231],"reduced":[232],"variability":[233],"faster":[235],"convergence":[236],"model-based":[238],"estimates":[239],"come":[240],"cost":[243],"increased":[245],"biased,":[246],"bias-variance":[249],"trade-off":[250],"can":[251],"be":[252],"controlled":[253],"adjusting":[255],"model":[259],"parameters":[260],"(e.g.,":[261],"including":[262],"higher-order":[263],"interaction":[264],"terms":[265],"model).":[269]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}