{"id":"https://openalex.org/W75950418","doi":null,"title":"Sufficient covariates and linear propensity analysis","display_name":"Sufficient covariates and linear propensity analysis","publication_year":2010,"publication_date":"2010-03-31","ids":{"openalex":"https://openalex.org/W75950418","mag":"75950418"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.1260","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.1260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://jmlr.csail.mit.edu/proceedings/papers/v9/guo10a/guo10a.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5008313346","display_name":"Hui Guo","orcid":"https://orcid.org/0000-0003-0282-6933","observed_orcids":["https://orcid.org/0000-0003-0282-6933","https://orcid.org/0000-0003-1295-9270"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Guo","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1295-9270","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043062426","display_name":"A. P. Dawid","orcid":"https://orcid.org/0000-0002-7410-6882","observed_orcids":["https://orcid.org/0000-0002-7410-6882"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. P. Dawid","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-7410-6882","affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7736,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74908902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","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"}},"topics":[{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","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/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/T10243","display_name":"Statistical Methods and Bayesian 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"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-inference","display_name":"causal inference","score":0.6549999713897705},{"id":"https://openalex.org/keywords/observational-data","display_name":"observational data","score":0.8880000114440918},{"id":"https://openalex.org/keywords/estimator-efficiency","display_name":"estimator efficiency","score":0.7789999842643738},{"id":"https://openalex.org/keywords/propensity-score","display_name":"propensity score","score":0.4779999852180481}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.8552080392837524},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.8009977340698242},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.7240432500839233},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.701565146446228},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5907079577445984},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5895241498947144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623893737792969},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4862281382083893},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41772398352622986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35780853033065796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3047052025794983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2941737771034241},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.1260","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.1260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://jmlr.csail.mit.edu/proceedings/papers/v9/guo10a/guo10a.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/194da074-c831-4148-9ba3-e556a75377a2","doi":null,"is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/194da074-c831-4148-9ba3-e556a75377a2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Guo, H & Dawid, A P 2010, Sufficient covariates and linear propensity analysis. in Journal of Machine Learning Research. vol. 9, MIT Press, pp. 281-288, 13th International Conference on Artificial Intelligence and Statistics, AISTATS 2010, Sardinia, 1/07/10.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:75950418","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v9/guo10a/guo10a.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419146","display_name":"International Conference on Artificial Intelligence and Statistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Artificial Intelligence and Statistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W30853191","https://openalex.org/W91052995","https://openalex.org/W1524313545","https://openalex.org/W1580038098","https://openalex.org/W1989377468","https://openalex.org/W2006290997","https://openalex.org/W2013567125","https://openalex.org/W2055154647","https://openalex.org/W2064790857","https://openalex.org/W2079597004","https://openalex.org/W2089330921","https://openalex.org/W2093910686","https://openalex.org/W2111924396","https://openalex.org/W2132917208","https://openalex.org/W2150291618","https://openalex.org/W2157244263","https://openalex.org/W2169315100","https://openalex.org/W3122193054"],"related_works":["https://openalex.org/W2187648504","https://openalex.org/W6987386784","https://openalex.org/W1638138942","https://openalex.org/W1977090890","https://openalex.org/W2582478230","https://openalex.org/W3199472189","https://openalex.org/W2122607396","https://openalex.org/W2950643425","https://openalex.org/W2896610735","https://openalex.org/W3201149841"],"abstract_inverted_index":{"Working":[0],"within":[1],"the":[2,10,31,61],"decision-theoretic":[3],"framework":[4],"for":[5,24],"causal":[6,17],"inference,":[7],"we":[8,29],"study":[9],"properties":[11],"of":[12,33,39],"\"sufficient":[13],"covariates\",":[14],"which":[15],"support":[16],"inference":[18],"from":[19],"observational":[20],"data,":[21],"and":[22,43],"possibilities":[23],"their":[25],"reduction.":[26],"In":[27],"particular":[28],"illustrate":[30],"r\u00f4le":[32],"a":[34,40,47],"propensity":[35],"variable":[36],"by":[37,60],"means":[38],"simple":[41],"model,":[42],"explain":[44],"why":[45],"such":[46],"reduction":[48],"typically":[49],"does":[50],"not":[51],"increase":[52],"(and":[53],"may":[54],"reduce)":[55],"estimation":[56],"efficiency.":[57],"Copyright":[58],"2010":[59],"authors.":[62]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
