{"id":"https://openalex.org/W2740000577","doi":"https://doi.org/10.48550/arxiv.1707.09506","title":"Counterfactual Reasoning with Disjunctive Knowledge in a Linear Structural Equation Model","display_name":"Counterfactual Reasoning with Disjunctive Knowledge in a Linear Structural Equation Model","publication_year":2017,"publication_date":"2017-07-29","ids":{"openalex":"https://openalex.org/W2740000577","doi":"https://doi.org/10.48550/arxiv.1707.09506","mag":"2740000577"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1707.09506","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.09506","pdf_url":"https://arxiv.org/pdf/1707.09506","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1707.09506","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071399199","display_name":"Manabu Kuroki","orcid":"https://orcid.org/0000-0003-4219-351X","observed_orcids":["https://orcid.org/0000-0003-4219-351X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kuroki, Manabu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5071399199"],"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":0.9937000274658203,"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":0.9937000274658203,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.0038999998942017555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.00019999999494757503,"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-thinking","display_name":"counterfactual reasoning","score":0.984000027179718},{"id":"https://openalex.org/keywords/linear-structural-equation-models","display_name":"linear structural equation models","score":0.9629999995231628},{"id":"https://openalex.org/keywords/multiple-treatments","display_name":"multiple treatments","score":0.8220000267028809},{"id":"https://openalex.org/keywords/matrix-representation","display_name":"matrix representation","score":0.5989999771118164},{"id":"https://openalex.org/keywords/causal-inference","display_name":"causal inference","score":0.6079999804496765}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.9571993947029114},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.6294227838516235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3923991322517395},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34542563557624817},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33020707964897156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32762545347213745},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.18481764197349548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13862726092338562}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1707.09506","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.09506","pdf_url":"https://arxiv.org/pdf/1707.09506","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.1707.09506","doi":"https://doi.org/10.48550/arxiv.1707.09506","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1707.09506","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1707.09506","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.09506","pdf_url":"https://arxiv.org/pdf/1707.09506","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W39269505","https://openalex.org/W174918813","https://openalex.org/W368780132","https://openalex.org/W1494413412","https://openalex.org/W1524326598","https://openalex.org/W1528089658","https://openalex.org/W1537314526","https://openalex.org/W1549106357","https://openalex.org/W1560639879","https://openalex.org/W1927040111","https://openalex.org/W1987524465","https://openalex.org/W2006886680","https://openalex.org/W2030466499","https://openalex.org/W2037302440","https://openalex.org/W2055576996","https://openalex.org/W2059334100","https://openalex.org/W2068434797","https://openalex.org/W2068526416","https://openalex.org/W2116090465","https://openalex.org/W2165612525","https://openalex.org/W2167578545","https://openalex.org/W2167912640","https://openalex.org/W2170108160","https://openalex.org/W2609459293","https://openalex.org/W2903108798","https://openalex.org/W2963884378","https://openalex.org/W3097981474"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W4384133558","https://openalex.org/W3025615835","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3028847759"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,14,42,64,111],"problem":[3],"of":[4,16,22,32,38,67,94,110,119],"estimating":[5],"counterfactual":[6,65,113],"quantities":[7],"when":[8],"prior":[9],"knowledge":[10,100],"is":[11,27],"available":[12],"in":[13],"form":[15],"disjunctive":[17,102],"statements.":[18],"These":[19],"include":[20],"disjunction":[21],"conditions":[23],"(e.g.,":[24,40],"\"the":[25],"patient":[26,43],"more":[28],"than":[29],"60":[30],"years":[31],"age\")":[33],"as":[34,36],"well":[35],"disjuction":[37],"antecedants":[39],"\"had":[41],"taken":[44],"either":[45],"drug":[46,49],"A":[47],"or":[48],"B\").":[50],"Focusing":[51],"on":[52],"linear":[53],"structural":[54],"equation":[55],"models":[56],"(SEM)":[57],"and":[58,69,74,77,96,115],"imperfect":[59],"control":[60],"plans,":[61,86],"we":[62,105],"extend":[63],"framework":[66],"Balke":[68],"Pearl":[70,75,78],"(1995)":[71],",":[72],"Chen":[73],"(2015),":[76],"(2009,":[79],"pp.":[80],"389-391)":[81],"from":[82,87,97],"unconditional":[83],"to":[84,91,101],"conditional":[85],"a":[88,92],"univariate":[89],"treatment":[90],"set":[93],"treatments,":[95],"point":[98],"type":[99],"knowledge.":[103],"Finally,":[104],"provide":[106],"improved":[107,116],"matrix":[108],"representations":[109],"resulting":[112],"parameters,":[114],"computational":[117],"methods":[118],"their":[120],"evaluation.":[121]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
