{"id":"https://openalex.org/W2951692844","doi":null,"title":"Counterfactual Prediction Methods for Causal Inference in Observational Studies with Continuous Treatments","display_name":"Counterfactual Prediction Methods for Causal Inference in Observational Studies with Continuous Treatments","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951692844","mag":"2951692844"},"language":"en","primary_location":{"id":"pmh:oai:lup-student-papers.lub.lu.se:8977715","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8977715","pdf_url":"http://lup.lub.lu.se/student-papers/record/8977715","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H1"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://lup.lub.lu.se/student-papers/record/8977715","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024304947","display_name":"Joel Persson","orcid":"https://orcid.org/0000-0002-2831-1535","observed_orcids":["https://orcid.org/0000-0002-2831-1535"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joel Persson","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2831-1535","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5024304947"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":1.0,"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":1.0,"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/T10136","display_name":"Statistical Methods and Inference","score":0.0,"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":0.0,"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/counterfactual-prediction","display_name":"counterfactual prediction","score":0.9769999980926514},{"id":"https://openalex.org/keywords/continuous-treatment","display_name":"continuous treatment","score":0.8989999890327454},{"id":"https://openalex.org/keywords/causal-inference","display_name":"causal inference","score":0.7720000147819519},{"id":"https://openalex.org/keywords/potential-outcomes","display_name":"potential outcomes","score":0.6890000104904175},{"id":"https://openalex.org/keywords/multiple-treatments","display_name":"multiple treatments","score":0.7760000228881836},{"id":"https://openalex.org/keywords/treatment-optimization","display_name":"treatment optimization","score":0.5299999713897705},{"id":"https://openalex.org/keywords/nonparametric-estimation","display_name":"nonparametric estimation","score":0.7279999852180481},{"id":"https://openalex.org/keywords/uncertainty-intervals","display_name":"uncertainty intervals","score":0.625},{"id":"https://openalex.org/keywords/observational-studies","display_name":"observational studies","score":0.5920000076293945}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.8112062215805054},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.8099847435951233},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7614896297454834},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.7351117730140686},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.6340577602386475},{"id":"https://openalex.org/C89337504","wikidata":"https://www.wikidata.org/wiki/Q4828276","display_name":"Average treatment effect","level":3,"score":0.6208537817001343},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5996252298355103},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5168007612228394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5081992149353027},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.47969457507133484},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4791949689388275},{"id":"https://openalex.org/C26831200","wikidata":"https://www.wikidata.org/wiki/Q16963953","display_name":"Marginal structural model","level":3,"score":0.46150898933410645},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.42993485927581787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41180023550987244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3863116204738617},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2647085189819336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18097379803657532},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11593872308731079},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:lup-student-papers.lub.lu.se:8977715","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8977715","pdf_url":"http://lup.lub.lu.se/student-papers/record/8977715","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H1"},{"id":"mag:2951692844","doi":null,"is_oa":false,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8977715/file/8983058.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:lup-student-papers.lub.lu.se:8977715","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8977715","pdf_url":"http://lup.lub.lu.se/student-papers/record/8977715","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H1"},"sustainable_development_goals":[{"score":0.5683000087738037,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951692844.pdf","grobid_xml":"https://content.openalex.org/works/W2951692844.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W253646976","https://openalex.org/W304023198","https://openalex.org/W577575140","https://openalex.org/W1509304162","https://openalex.org/W1963947711","https://openalex.org/W1996144317","https://openalex.org/W2011087402","https://openalex.org/W2058248640","https://openalex.org/W2066735350","https://openalex.org/W2129313392","https://openalex.org/W2132917208","https://openalex.org/W2136484149","https://openalex.org/W2138368371","https://openalex.org/W2150291618","https://openalex.org/W2161893832","https://openalex.org/W2208550830","https://openalex.org/W2242034775","https://openalex.org/W2278177624","https://openalex.org/W2305754340","https://openalex.org/W2345126895","https://openalex.org/W2585690194","https://openalex.org/W2592593453","https://openalex.org/W2624816748","https://openalex.org/W2730059782","https://openalex.org/W2773900065","https://openalex.org/W2808540701","https://openalex.org/W2917555822","https://openalex.org/W2920271078","https://openalex.org/W3089065092","https://openalex.org/W3121385028","https://openalex.org/W4234961057","https://openalex.org/W4247028327","https://openalex.org/W4297925723","https://openalex.org/W4299011259","https://openalex.org/W4393986369"],"related_works":["https://openalex.org/W2563065648","https://openalex.org/W4404088913","https://openalex.org/W3205333154","https://openalex.org/W2170537801","https://openalex.org/W4401110753","https://openalex.org/W2786271244","https://openalex.org/W3182501931","https://openalex.org/W4221159030","https://openalex.org/W4281617128","https://openalex.org/W6941238940"],"abstract_inverted_index":{"We":[0,17,44,113],"develop":[1,131],"methods":[2],"for":[3,133],"estimation,":[4],"inference":[5],"and":[6,42,56,62,76,96,116,128,130,159],"optimization":[7],"of":[8,34,65,92,100,122,125,135],"causal":[9,68],"effects":[10,104],"from":[11,109],"observational":[12],"data":[13],"with":[14],"continuous":[15],"treatments.":[16,102],"present":[18],"a":[19,35,39,93],"counterfactual":[20,143],"prediction":[21,144],"method":[22,48,88,145],"based":[23],"on":[24],"the":[25,31,47,50,57,78,87,90,97,126,136,142,151,156],"potential":[26,36],"outcomes":[27],"framework":[28],"that":[29,46,141,154],"estimates":[30],"expected":[32,157],"value":[33],"outcome":[37],"given":[38],"treatment":[40,53,79,95,111,152],"level":[41,153],"confounders.":[43],"show":[45,140],"identifies":[49,89],"average":[51,58],"generalized":[52],"effect":[54,91,99],"(AGTE)":[55],"dose-response":[59],"function":[60],"(ADRF)":[61],"propose":[63],"estimators":[64,71],"these":[66],"functional":[67],"estimands.":[69],"Our":[70],"work":[72],"under":[73],"high-dimensional":[74],"confounding":[75],"when":[77],"takes":[80],"many":[81],"distinct":[82],"values.":[83],"Under":[84],"multiple":[85,101],"treatments,":[86],"single":[94],"joint":[98],"Treatment":[103],"can":[105,146],"further":[106],"be":[107,147],"estimated":[108],"unobserved":[110],"levels.":[112],"provide":[114],"non-parametric":[115],"computationally":[117],"efficient":[118],"parametric":[119],"estimation":[120],"procedures":[121],"uncertainty":[123],"intervals":[124],"ADRF":[127],"AGTE":[129],"algorithms":[132],"implementation":[134],"estimators.":[137],"Finally,":[138],"we":[139],"used":[148],"to":[149],"estimate":[150],"maximizes":[155],"individual":[158],"population":[160],"outcome.":[161]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-06-27T00:00:00"}