{"id":"https://openalex.org/W4408611956","doi":"https://doi.org/10.1145/3718097","title":"SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification","display_name":"SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification","publication_year":2025,"publication_date":"2025-03-19","ids":{"openalex":"https://openalex.org/W4408611956","doi":"https://doi.org/10.1145/3718097","pmid":"https://pubmed.ncbi.nlm.nih.gov/40575765"},"language":"en","primary_location":{"id":"doi:10.1145/3718097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3718097","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3718097","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019597900","display_name":"Seungyeon Lee","orcid":"https://orcid.org/0000-0001-7153-0680"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seungyeon Lee","raw_affiliation_strings":["The Ohio State University, USA"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040995238","display_name":"Ruoqi Liu","orcid":"https://orcid.org/0000-0002-2770-0651"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruoqi Liu","raw_affiliation_strings":["The Ohio State University, USA"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051376406","display_name":"Wenyu Song","orcid":"https://orcid.org/0000-0001-6146-4093"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyu Song","raw_affiliation_strings":["Harvard Medical School, USA"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383612","display_name":"Lang Li","orcid":"https://orcid.org/0000-0002-0746-1809"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lang Li","raw_affiliation_strings":["The Ohio State University, USA"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050360222","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-4601-0779"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["The Ohio State University, USA"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019597900"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05886503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9979000091552734,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9979000091552734,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9947999715805054,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9918000102043152,"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":0.840582013130188},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6692613959312439},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5727141499519348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41077497601509094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3597102761268616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840582013130188},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6692613959312439},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5727141499519348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41077497601509094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3597102761268616},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3718097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3718097","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmid:40575765","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40575765","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM transactions on intelligent systems and technology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:12199269","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12199269","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Trans Intell Syst Technol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3718097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3718097","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2064903582","https://openalex.org/W2132917208","https://openalex.org/W2588491432","https://openalex.org/W2895157652","https://openalex.org/W2896908875","https://openalex.org/W2914747183","https://openalex.org/W2944481928","https://openalex.org/W2996824246","https://openalex.org/W3035533499","https://openalex.org/W3102569414","https://openalex.org/W3145543370","https://openalex.org/W3168410956","https://openalex.org/W3205129795","https://openalex.org/W4200401708","https://openalex.org/W4224315235","https://openalex.org/W4235700352","https://openalex.org/W4285044150","https://openalex.org/W4287124121","https://openalex.org/W4287757828","https://openalex.org/W4297950174","https://openalex.org/W4309855400","https://openalex.org/W4391529028"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Precise":[0],"estimation":[1,27,89,119,133,140,166],"of":[2,34,44,156,177],"treatment":[3,25,45,53,73,78,87,110,115,164,182,196],"effects":[4,46,54,74,111,116],"is":[5,37],"crucial":[6],"for":[7,24,163,184],"accurately":[8],"evaluating":[9],"the":[10,42,58,68,118,147,153,160,175],"intervention.":[11],"While":[12],"deep":[13],"learning":[14,21],"models":[15,36],"have":[16,51],"exhibited":[17],"promising":[18],"performance":[19,155],"in":[20,32,97,117,179],"counterfactual":[22],"representations":[23],"effect":[26,88,165,197],"(TEE),":[28],"a":[29,62,85,171],"major":[30],"limitation":[31,66],"most":[33],"these":[35],"that":[38,50,130],"they":[39],"often":[40],"overlook":[41],"diversity":[43],"across":[47],"potential":[48],"subgroups":[49,102],"varying":[52],"and":[55,75,106,134,141,149,167],"characteristics,":[56],"treating":[57],"entire":[59],"population":[60],"as":[61],"homogeneous":[63],"group.":[64],"This":[65],"restricts":[67],"ability":[69],"to":[70,137,159],"precisely":[71,108],"estimate":[72],"provide":[76],"targeted":[77,181],"recommendations.":[79],"In":[80,121],"this":[81],"paper,":[82],"we":[83,123],"propose":[84],"novel":[86],"model,":[90],"named":[91],"SubgroupTE,":[92],"which":[93],"incorporates":[94],"subgroup":[95,142,193],"identification":[96,194],"TEE.":[98],"SubgroupTE":[99,157,178],"identifies":[100],"heterogeneous":[101],"with":[103,186,195],"different":[104],"responses":[105],"more":[107],"estimates":[109],"by":[112,191],"considering":[113],"subgroup-specific":[114],"process.":[120],"addition,":[122],"introduce":[124],"an":[125],"expectation-maximization":[126],"(EM)-based":[127],"training":[128],"process":[129],"iteratively":[131],"optimizes":[132],"subgrouping":[135,168],"networks":[136],"improve":[138],"both":[139],"identification.":[143],"Comprehensive":[144],"experiments":[145],"on":[146],"synthetic":[148],"semi-synthetic":[150],"datasets":[151],"demonstrate":[152],"outstanding":[154],"compared":[158],"existing":[161],"works":[162],"models.":[169],"Additionally,":[170],"real-world":[172],"study":[173],"demonstrates":[174],"capabilities":[176],"enhancing":[180],"recommendations":[183],"patients":[185],"opioid":[187],"use":[188],"disorder":[189],"(OUD)":[190],"incorporating":[192],"estimation.":[198]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}