{"id":"https://openalex.org/W2841188283","doi":"https://doi.org/10.1016/j.jmva.2018.07.005","title":"Joint sufficient dimension reduction for estimating continuous treatment effect functions","display_name":"Joint sufficient dimension reduction for estimating continuous treatment effect functions","publication_year":2018,"publication_date":"2018-07-10","ids":{"openalex":"https://openalex.org/W2841188283","doi":"https://doi.org/10.1016/j.jmva.2018.07.005","mag":"2841188283","pmid":"https://pubmed.ncbi.nlm.nih.gov/30872872"},"language":"en","primary_location":{"id":"doi:10.1016/j.jmva.2018.07.005","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.jmva.2018.07.005","pdf_url":null,"source":{"id":"https://openalex.org/S133905466","display_name":"Journal of Multivariate Analysis","issn_l":"0047-259X","issn":["0047-259X","1095-7243"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multivariate Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6411292","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019738285","display_name":"Ming\u2010Yueh Huang","orcid":"https://orcid.org/0000-0002-1853-4356"},"institutions":[{"id":"https://openalex.org/I4210141710","display_name":"Institute of Statistical Science, Academia Sinica","ror":"https://ror.org/044gv5910","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210141710","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ming-Yueh Huang","raw_affiliation_strings":["Institute of Statistical Science, Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Statistical Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210141710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082676650","display_name":"Kwun Chuen Gary Chan","orcid":"https://orcid.org/0000-0003-1095-7837"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210101190","display_name":"Cancer Research And Biostatistics","ror":"https://ror.org/01575p865","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210101190"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwun Chuen Gary Chan","raw_affiliation_strings":["Department of Biostatistics, University of Washington, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Washington, U.S.A","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I4210101190"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019738285"],"corresponding_institution_ids":["https://openalex.org/I4210141710"],"apc_list":{"value":3060,"currency":"USD","value_usd":3060},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08143603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"168","issue":null,"first_page":"48","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sufficient-dimension-reduction","display_name":"Sufficient dimension reduction","score":0.9273960590362549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.8821337223052979},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6981883645057678},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6266272068023682},{"id":"https://openalex.org/keywords/sliced-inverse-regression","display_name":"Sliced inverse regression","score":0.5930501222610474},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5913240909576416},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4933284819126129},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.4817069172859192},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.47545239329338074},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4551141858100891},{"id":"https://openalex.org/keywords/jackknife-resampling","display_name":"Jackknife resampling","score":0.4498417377471924},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4325616955757141},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4261763095855713},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40973180532455444},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.397394061088562},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.15902867913246155},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12140417098999023},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08850353956222534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.07909592986106873}],"concepts":[{"id":"https://openalex.org/C27931671","wikidata":"https://www.wikidata.org/wiki/Q7634497","display_name":"Sufficient dimension reduction","level":3,"score":0.9273960590362549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.8821337223052979},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6981883645057678},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6266272068023682},{"id":"https://openalex.org/C41341539","wikidata":"https://www.wikidata.org/wiki/Q7540242","display_name":"Sliced inverse regression","level":3,"score":0.5930501222610474},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5913240909576416},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4933284819126129},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.4817069172859192},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.47545239329338074},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4551141858100891},{"id":"https://openalex.org/C81790035","wikidata":"https://www.wikidata.org/wiki/Q847158","display_name":"Jackknife resampling","level":3,"score":0.4498417377471924},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4325616955757141},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4261763095855713},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40973180532455444},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.397394061088562},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.15902867913246155},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12140417098999023},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08850353956222534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.07909592986106873},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.jmva.2018.07.005","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.jmva.2018.07.005","pdf_url":null,"source":{"id":"https://openalex.org/S133905466","display_name":"Journal of Multivariate Analysis","issn_l":"0047-259X","issn":["0047-259X","1095-7243"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multivariate Analysis","raw_type":"journal-article"},{"id":"pmid:30872872","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30872872","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":"Journal of multivariate analysis","raw_type":null},{"id":"pmh:oai:RePEc:eee:jmvana:v:168:y:2018:i:c:p:48-62","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0047259X17307273","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:6411292","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6411292","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":"J Multivar Anal","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6411292","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6411292","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":"J Multivar Anal","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3804554122","display_name":null,"funder_award_id":"R01HL122212","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6152619683","display_name":null,"funder_award_id":"DMS1711952","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1970668254","https://openalex.org/W1975285668","https://openalex.org/W1984721708","https://openalex.org/W1990661525","https://openalex.org/W1996009000","https://openalex.org/W2000308126","https://openalex.org/W2004316780","https://openalex.org/W2005747881","https://openalex.org/W2010029425","https://openalex.org/W2016911959","https://openalex.org/W2024983310","https://openalex.org/W2032460509","https://openalex.org/W2061905469","https://openalex.org/W2064903582","https://openalex.org/W2067148661","https://openalex.org/W2074278088","https://openalex.org/W2091974978","https://openalex.org/W2111078766","https://openalex.org/W2121480997","https://openalex.org/W2134091946","https://openalex.org/W2138368371","https://openalex.org/W2139529156","https://openalex.org/W2163490846","https://openalex.org/W2305785810","https://openalex.org/W2511884042","https://openalex.org/W2582478230","https://openalex.org/W2614187857","https://openalex.org/W2791800931","https://openalex.org/W2796630133","https://openalex.org/W2951715671","https://openalex.org/W3102028468","https://openalex.org/W3102844537","https://openalex.org/W3125459412","https://openalex.org/W4292025355","https://openalex.org/W6680599827","https://openalex.org/W6732467476"],"related_works":["https://openalex.org/W2952134625","https://openalex.org/W2975597143","https://openalex.org/W1968946299","https://openalex.org/W3030818821","https://openalex.org/W4315473876","https://openalex.org/W4287773722","https://openalex.org/W4293581991","https://openalex.org/W3164589092","https://openalex.org/W2147061150","https://openalex.org/W2158724162"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
