{"id":"https://openalex.org/W4394113000","doi":"https://doi.org/10.6084/m9.figshare.21379855","title":"Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning","display_name":"Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4394113000","doi":"https://doi.org/10.6084/m9.figshare.21379855"},"language":"en","primary_location":{"id":"doi:10.6084/m9.figshare.21379855","doi":"https://doi.org/10.6084/m9.figshare.21379855","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.21379855","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.6084/m9.figshare.21379855","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028993237","display_name":"Wenzhuo Zhou","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Wenzhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076762447","display_name":"Ruoqing Zhu","orcid":"https://orcid.org/0000-0002-0753-5716","observed_orcids":["https://orcid.org/0000-0002-0753-5716"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu, Ruoqing","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029794342","display_name":"Annie Qu","orcid":"https://orcid.org/0000-0002-8396-7828","observed_orcids":["https://orcid.org/0000-0002-8396-7828"]},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qu, Annie","raw_affiliation_strings":["University of California, Irvine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Irvine","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9595000147819519,"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":0.9595000147819519,"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":0.01510000042617321,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0035000001080334187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/optimal-dynamic-treatment-regimes","display_name":"optimal dynamic treatment regimes","score":0.8569999933242798},{"id":"https://openalex.org/keywords/infinite-horizon","display_name":"infinite horizon","score":0.5059999823570251},{"id":"https://openalex.org/keywords/mobile-health","display_name":"mobile health","score":0.7979999780654907},{"id":"https://openalex.org/keywords/minimax-estimators","display_name":"minimax estimators","score":0.8009999990463257},{"id":"https://openalex.org/keywords/double-sampling","display_name":"double sampling","score":0.7940000295639038},{"id":"https://openalex.org/keywords/excess-risk-bounds","display_name":"excess risk bounds","score":0.8349999785423279},{"id":"https://openalex.org/keywords/type-1-diabetes","display_name":"type 1 diabetes","score":0.7889999747276306},{"id":"https://openalex.org/keywords/personalized-interventions","display_name":"personalized interventions","score":0.5440000295639038},{"id":"https://openalex.org/keywords/drug-shortages","display_name":"drug shortages","score":0.5109999775886536}],"concepts":[{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.5841032266616821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3777836561203003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36287569999694824},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34543901681900024},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.32744041085243225},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.6084/m9.figshare.21379855","doi":"https://doi.org/10.6084/m9.figshare.21379855","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.21379855","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.6084/m9.figshare.21379855","doi":"https://doi.org/10.6084/m9.figshare.21379855","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.21379855","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8560000061988831}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2584650420","https://openalex.org/W3082190661","https://openalex.org/W6939506886","https://openalex.org/W2505697467","https://openalex.org/W2982605860","https://openalex.org/W1795128746","https://openalex.org/W4400454433","https://openalex.org/W2889748820","https://openalex.org/W3000485158","https://openalex.org/W4399570459"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,127,170],"mobile":[3],"health":[4,14],"(mHealth)":[5],"technology":[6,27],"provide":[7],"an":[8,36,54,104],"effective":[9],"way":[10],"to":[11,31,66,77,102],"monitor":[12],"individuals\u2019":[13],"statuses":[15],"and":[16,52,113,136,154,162,174,181],"deliver":[17],"just-in-time":[18],"personalized":[19],"interventions.":[20],"However,":[21],"the":[22,60,123,128,151,159,182],"practical":[23],"use":[24],"of":[25,49,62,150],"mHealth":[26,42,184],"raises":[28],"unique":[29],"challenges":[30],"existing":[32,129],"methodologies":[33],"on":[34,158],"learning":[35],"optimal":[37,75,105],"dynamic":[38],"treatment":[39],"regime.":[40],"Many":[41],"applications":[43],"involve":[44],"decision-making":[45],"with":[46],"large":[47],"numbers":[48],"intervention":[50],"options":[51],"under":[53],"infinite":[55],"time":[56],"horizon":[57],"setting":[58],"where":[59],"number":[61],"decision":[63],"stages":[64],"diverges":[65],"infinity.":[67],"In":[68],"addition,":[69],"temporary":[70],"medication":[71],"shortages":[72],"may":[73],"cause":[74],"treatments":[76],"be":[78,87,133],"unavailable,":[79],"while":[80],"it":[81],"is":[82,108,168,175],"unclear":[83],"what":[84],"alternatives":[85],"can":[86,132,137],"used.":[88],"To":[89],"address":[90],"these":[91],"challenges,":[92],"we":[93],"propose":[94],"a":[95],"Proximal":[96],"Temporal":[97],"consistency":[98],"Learning":[99],"(pT-Learning)":[100],"framework":[101],"estimate":[103],"regime":[106],"that":[107],"adaptively":[109],"adjusted":[110],"between":[111],"deterministic":[112],"stochastic":[114],"sparse":[115,152],"policy":[116,153],"models.":[117],"The":[118,165],"resulting":[119],"minimax":[120],"estimator":[121],"avoids":[122],"double":[124],"sampling":[125],"issue":[126],"algorithms.":[130],"It":[131],"further":[134],"simplified":[135],"easily":[138],"incorporate":[139],"off-policy":[140],"data":[141],"without":[142],"mismatched":[143],"distribution":[144],"corrections.":[145],"We":[146],"study":[147],"theoretical":[148],"properties":[149],"establish":[155],"finite-sample":[156],"bounds":[157],"excess":[160],"risk":[161],"performance":[163],"error.":[164],"proposed":[166],"method":[167],"provided":[169],"our":[171],"proximalDTR":[172],"package":[173],"evaluated":[176],"through":[177],"extensive":[178],"simulation":[179],"studies":[180],"OhioT1DM":[183],"dataset.":[185],"Supplementary":[186],"materials":[187],"for":[188],"this":[189],"article":[190],"are":[191],"available":[192],"online.":[193]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2024-04-08T00:00:00"}
