{"id":"https://openalex.org/W4319787387","doi":"https://doi.org/10.1002/sta4.549","title":"Nonparametric doubly robust estimation of causal effect on networks in observational studies","display_name":"Nonparametric doubly robust estimation of causal effect on networks in observational studies","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319787387","doi":"https://doi.org/10.1002/sta4.549"},"language":"en","primary_location":{"id":"doi:10.1002/sta4.549","doi":"https://doi.org/10.1002/sta4.549","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sta4.549","pdf_url":null,"source":{"id":"https://openalex.org/S4210193439","display_name":"Stat","issn_l":"2049-1573","issn":["2049-1573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Stat","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5100454087","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-2384-9467","observed_orcids":["https://orcid.org/0000-0002-2384-9467"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["School of Management, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005240697","display_name":"Fangjuan Ye","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangjuan Ye","raw_affiliation_strings":["School of Management, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397802","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0003-4198-1995","observed_orcids":["https://orcid.org/0000-0003-4198-1995"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Management, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4198-1995","affiliations":[{"raw_affiliation_string":"School of Management, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100397802"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":3550,"currency":"USD","value_usd":3550},"apc_paid":null,"fwci":0.1509,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3559767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"1","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":0.9970999956130981,"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":0.9970999956130981,"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":0.00019999999494757503,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interference","display_name":"interference","score":0.4350000023841858},{"id":"https://openalex.org/keywords/observational-studies","display_name":"observational studies","score":0.609000027179718},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"nonparametric regression","score":0.9269999861717224},{"id":"https://openalex.org/keywords/asymptotic-properties","display_name":"asymptotic properties","score":0.8500000238418579},{"id":"https://openalex.org/keywords/power-plants","display_name":"power plants","score":0.4620000123977661},{"id":"https://openalex.org/keywords/selective-non-catalytic-reduction","display_name":"selective non-catalytic reduction","score":0.3790000081062317},{"id":"https://openalex.org/keywords/ambient-ozone","display_name":"ambient ozone","score":0.8040000200271606}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8229446411132812},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7576534748077393},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7542028427124023},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.6801925301551819},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6359928846359253},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5896016359329224},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.49790239334106445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48587459325790405},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.4544071555137634},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.4487237334251404},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37686073780059814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3515421748161316},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08619242906570435},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/sta4.549","doi":"https://doi.org/10.1002/sta4.549","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sta4.549","pdf_url":null,"source":{"id":"https://openalex.org/S4210193439","display_name":"Stat","issn_l":"2049-1573","issn":["2049-1573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Stat","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1623715139","display_name":"\u57fa\u4e8e\u793e\u4ea4\u7f51\u7edc\u4fe1\u606f\u4f20\u64ad\u673a\u7406\u7684\u7535\u5546\u4f01\u4e1a\u5b9a\u4ef7\u51b3\u7b56\u7814\u7a76","funder_award_id":"71771201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4360092651","display_name":"\u53e4\u5efa\u7b51\u7fa4\u706b\u707e\u9884\u9632\u4e2d\u7684\u5f71\u54cd\u673a\u7406\u4e0e\u4f18\u5316\u7b56\u7565\u7814\u7a76","funder_award_id":"71874171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8889344810","display_name":null,"funder_award_id":"71871208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1486151009","https://openalex.org/W1571975558","https://openalex.org/W1969168383","https://openalex.org/W1978125212","https://openalex.org/W1995906082","https://openalex.org/W1996564297","https://openalex.org/W2062874024","https://openalex.org/W2079350349","https://openalex.org/W2109143955","https://openalex.org/W2110313653","https://openalex.org/W2126744766","https://openalex.org/W2224988969","https://openalex.org/W2542053491","https://openalex.org/W2550257255","https://openalex.org/W2559748355","https://openalex.org/W2582244209","https://openalex.org/W2610331396","https://openalex.org/W2619368739","https://openalex.org/W2735728227","https://openalex.org/W2767271226","https://openalex.org/W2770923318","https://openalex.org/W2901796322","https://openalex.org/W2939033286","https://openalex.org/W2963631618","https://openalex.org/W3017212421","https://openalex.org/W3039378376","https://openalex.org/W4233056867"],"related_works":["https://openalex.org/W4416665655","https://openalex.org/W4396787175","https://openalex.org/W6991695571","https://openalex.org/W4407231818","https://openalex.org/W4403575256","https://openalex.org/W2617163372","https://openalex.org/W7131095585","https://openalex.org/W7138844484","https://openalex.org/W7214088477","https://openalex.org/W7220972535"],"abstract_inverted_index":{"Interconnection":[0],"of":[1,9,34,46,71,77,90,103,105,111],"nodes":[2],"takes":[3],"great":[4],"challenge":[5],"to":[6,26,99],"the":[7,13,28,32,44,59,62,78,86,101],"estimation":[8],"causal":[10,29],"effect":[11,30],"in":[12,31,115],"network.":[14],"In":[15],"this":[16,97],"study,":[17],"we":[18],"develop":[19],"a":[20],"nonparametric":[21,51],"doubly":[22,47],"robust":[23,48],"(NDR)":[24],"estimator":[25,42,80],"identify":[27],"presence":[33],"general":[35],"interference":[36],"on":[37,107],"network":[38],"observational":[39],"data.":[40],"The":[41,74],"combines":[43],"strengths":[45],"mapping":[49],"and":[50,68,88,95],"regression.":[52],"Thus,":[53],"it":[54],"is":[55,65,69],"consistent":[56],"when":[57],"either":[58],"treatment":[60],"or":[61],"outcome":[63],"model":[64],"properly":[66],"specified":[67],"free":[70],"parametric":[72],"assumptions.":[73],"asymptotic":[75],"properties":[76],"proposed":[79],"are":[81],"also":[82],"proved.":[83],"We":[84],"demonstrate":[85],"robustness":[87],"effectiveness":[89],"NDR":[91],"by":[92],"simulation":[93],"studies":[94],"apply":[96],"method":[98],"investigate":[100],"impact":[102],"installation":[104],"SnCR":[106],"ambient":[108],"ozone":[109],"concentration":[110],"473":[112],"power":[113],"plants":[114],"America.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-02-11T00:00:00"}
