{"id":"https://openalex.org/W216496316","doi":null,"title":"Some aspects of propensity score-based estimators for causal inference","display_name":"Some aspects of propensity score-based estimators for causal inference","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W216496316","mag":"216496316"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:uu-229341","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-229341","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-229341","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081442085","display_name":"Ronnie Pingel","orcid":"https://orcid.org/0000-0002-4140-1981","observed_orcids":["https://orcid.org/0000-0002-4140-1981"]},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Ronnie Pingel","raw_affiliation_strings":["Uppsala University ,"],"raw_orcid":"https://orcid.org/0000-0002-4140-1981","affiliations":[{"raw_affiliation_string":"Uppsala University ,","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081442085"],"corresponding_institution_ids":["https://openalex.org/I123387679"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"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/propensity-score","display_name":"propensity score","score":0.7279999852180481},{"id":"https://openalex.org/keywords/average-causal-effect","display_name":"average causal effect","score":0.843999981880188},{"id":"https://openalex.org/keywords/inverse-probability-weighting","display_name":"inverse probability weighting","score":0.8349999785423279},{"id":"https://openalex.org/keywords/propensity-score-matching","display_name":"propensity score matching","score":0.9789999723434448},{"id":"https://openalex.org/keywords/asymptotic-variance","display_name":"asymptotic variance","score":0.9390000104904175},{"id":"https://openalex.org/keywords/covariate-correlation","display_name":"covariate correlation","score":0.8339999914169312},{"id":"https://openalex.org/keywords/doubly-robust-estimation","display_name":"doubly robust estimation","score":0.7110000252723694},{"id":"https://openalex.org/keywords/asymptotic-efficiency","display_name":"asymptotic efficiency","score":0.6309999823570251},{"id":"https://openalex.org/keywords/confounding","display_name":"confounding","score":0.5},{"id":"https://openalex.org/keywords/bandwidth-selection","display_name":"bandwidth selection","score":0.6819999814033508},{"id":"https://openalex.org/keywords/local-linear-regression","display_name":"local linear regression","score":0.6299999952316284},{"id":"https://openalex.org/keywords/right-heart-catheterization","display_name":"right heart catheterization","score":0.8880000114440918}],"concepts":[{"id":"https://openalex.org/C166151441","wikidata":"https://www.wikidata.org/wiki/Q4923601","display_name":"Causation","level":2,"score":0.8286250829696655},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.8285993337631226},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.8249622583389282},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.8134357333183289},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.5747817158699036},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5608035326004028},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.5041707754135132},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.4443109333515167},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4341958463191986},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.424776166677475},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3900344669818878},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.3521047532558441},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3161197900772095},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.20455580949783325},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.1925111711025238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18515241146087646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13132598996162415},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08910229802131653},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.08824855089187622},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.06884565949440002},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:DiVA.org:uu-229341","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-229341","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"mag:216496316","doi":null,"is_oa":false,"landing_page_url":"https://www.ifau.se/globalassets/pdf/se/2014/dis2014-05-some-aspetcts-of-propensity-score-based-estimators-for-causal-inference.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:DiVA.org:uu-229341","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-229341","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1965834173","https://openalex.org/W1971267916","https://openalex.org/W1978108654","https://openalex.org/W1985231403","https://openalex.org/W1986139130","https://openalex.org/W1989377468","https://openalex.org/W2001526844","https://openalex.org/W2014702043","https://openalex.org/W2039811614","https://openalex.org/W2062947384","https://openalex.org/W2070898270","https://openalex.org/W2076731491","https://openalex.org/W2079728711","https://openalex.org/W2090578816","https://openalex.org/W2116943185","https://openalex.org/W2119712079","https://openalex.org/W2128252369","https://openalex.org/W2132917208","https://openalex.org/W2150291618","https://openalex.org/W2155048419","https://openalex.org/W2168458505","https://openalex.org/W2168639902","https://openalex.org/W2171443468","https://openalex.org/W2176874128","https://openalex.org/W2185567591","https://openalex.org/W2327549587","https://openalex.org/W2597503617","https://openalex.org/W2803021103","https://openalex.org/W3023110406","https://openalex.org/W3107082836","https://openalex.org/W3121385028","https://openalex.org/W3122193054","https://openalex.org/W4233471163"],"related_works":["https://openalex.org/W1583372370","https://openalex.org/W2127259239","https://openalex.org/W3125564445","https://openalex.org/W3199472189","https://openalex.org/W3106249151","https://openalex.org/W7096706134","https://openalex.org/W3012460151","https://openalex.org/W640935038","https://openalex.org/W4403600232","https://openalex.org/W2088764389"],"abstract_inverted_index":{"This":[0,329],"thesis":[1],"consists":[2],"of":[3,35,45,51,63,91,105,136,171,187,194,198,221,225,249,272,285,306,322],"four":[4],"papers":[5,336],"that":[6,26,37,76,84,126,162,178,233,254,338],"are":[7,38,77,129],"related":[8,332],"to":[9,31,98,278,333,344],"commonly":[10,342],"used":[11,343],"propensity":[12,140,227,347],"score-based":[13],"estimators":[14,93,128],"for":[15,239,266,318],"average":[16],"causal":[17,68,212],"effects.":[18],"The":[19,118,216,270],"first":[20,123,150],"paper":[21,120,124,218,330],"starts":[22],"with":[23,96,325],"the":[24,43,48,61,80,85,88,92,103,106,109,112,122,127,132,138,149,154,159,163,169,172,185,188,192,196,199,202,205,222,240,250,267,273,283,304,310,319,334,346],"observation":[25],"researchers":[27],"often":[28],"have":[29],"access":[30],"data":[32],"containing":[33],"lots":[34],"covariates":[36],"correlated.":[39],"We":[40,142],"therefore":[41],"study":[42],"effect":[44,213,284,295,301],"correlation":[46,86,164,183],"on":[47,296,303],"asymptotic":[49,89,223,268],"variance":[50,186,224,251,274],"an":[52,115,315],"inverse":[53],"probability":[54],"weighting":[55],"and":[56,70,73,100,111,152,204,207,253],"a":[57,74,226,255,262,293],"matching":[58,229],"estimator.":[59,157,230],"Under":[60],"assumptions":[62,146],"normally":[64,326],"distributed":[65,327],"covariates,":[66],"constant":[67,209],"effect,":[69],"potential":[71],"outcomes":[72],"logit":[75],"linear":[78,258],"in":[79,125,148,337],"parameters":[81,248],"we":[82,175,290,313],"show":[83,161,232,291],"influences":[87],"efficiency":[90],"differently,":[94],"both":[95],"regard":[97],"direction":[99],"magnitude.":[101],"Further,":[102],"strength":[104,197],"confounding":[107,200],"towards":[108,201],"outcome":[110,203],"treatment":[113],"plays":[114],"important":[116],"role.":[117],"second":[119],"extends":[121],"studied":[130],"under":[131],"more":[133,263],"realistic":[134],"setting":[135],"using":[137],"estimated":[139],"score.":[141,348],"also":[143,176],"relax":[144],"several":[145,179],"made":[147,238],"paper,":[151,312],"include":[153],"doubly":[155],"robust":[156],"Again,":[158],"results":[160],"may":[165,260],"increase":[166],"or":[167,210,298],"decrease":[168],"variances":[170],"estimators,":[173,189],"but":[174],"observe":[177],"aspects":[180],"influence":[181],"how":[182],"affects":[184],"such":[190],"as":[191],"choice":[193,305],"estimator,":[195],"treatment,":[206],"whether":[208],"non-constant":[211],"is":[214,276,331,341],"present.":[215],"third":[217],"concerns":[219],"estimation":[220],"score":[228],"Simulations":[231],"large":[234],"gains":[235],"can":[236],"be":[237,261,279],"mean":[241],"squared":[242],"error":[243],"by":[244],"properly":[245],"selecting":[246],"smoothing":[247,307],"estimator":[252,259,265,275],"residual-based":[256],"local":[257],"efficient":[264],"variance.":[269],"specification":[271],"shown":[277],"crucial":[280],"when":[281],"evaluating":[282],"right":[286],"heart":[287],"catheterisation,":[288],"i.e.":[289],"either":[292],"negative":[294],"survival":[297],"no":[299],"significant":[300],"depending":[302],"parameters.":[308],"In":[309],"fourth":[311],"provide":[314],"analytic":[316],"expression":[317],"covariance":[320],"matrix":[321],"logistic":[323,339],"regression":[324,340],"regressors.":[328],"other":[335],"estimate":[345]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}