{"id":"https://openalex.org/W2808972545","doi":"https://doi.org/10.1177/0962280218781171","title":"Propensity score weighting analysis and treatment effect discovery","display_name":"Propensity score weighting analysis and treatment effect discovery","publication_year":2018,"publication_date":"2018-06-19","ids":{"openalex":"https://openalex.org/W2808972545","doi":"https://doi.org/10.1177/0962280218781171","mag":"2808972545","pmid":"https://pubmed.ncbi.nlm.nih.gov/29921162"},"language":"en","primary_location":{"id":"doi:10.1177/0962280218781171","doi":"https://doi.org/10.1177/0962280218781171","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0962280218781171","pdf_url":null,"source":{"id":"https://openalex.org/S150263959","display_name":"Statistical Methods in Medical Research","issn_l":"0962-2802","issn":["0962-2802","1477-0334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Methods in Medical Research","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"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/A5112368424","display_name":"Huzhang Mao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]},{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huzhang Mao","raw_affiliation_strings":["Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA","Department of Biostatistics, University of Texas School of Public Health, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA","institution_ids":["https://openalex.org/I1343551460"]},{"raw_affiliation_string":"Department of Biostatistics, University of Texas School of Public Health, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420615","display_name":"Liang Li","orcid":"https://orcid.org/0000-0001-5453-3839","observed_orcids":["https://orcid.org/0000-0001-5453-3839"]},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liang Li","raw_affiliation_strings":["Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-5453-3839","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016452405","display_name":"Tom Greene","orcid":"https://orcid.org/0000-0002-3706-7570","observed_orcids":["https://orcid.org/0000-0002-3706-7570"]},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tom Greene","raw_affiliation_strings":["Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100420615"],"corresponding_institution_ids":["https://openalex.org/I1343551460"],"apc_list":{"value":4400,"currency":"USD","value_usd":4400},"apc_paid":null,"fwci":7.0545,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.97864678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"28","issue":"8","first_page":"2439","last_page":"2454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.0003000000142492354,"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/T10206","display_name":"Meta-analysis and systematic reviews","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/propensity-score-weighting","display_name":"propensity score weighting","score":0.8679999709129333},{"id":"https://openalex.org/keywords/inverse-probability-weighting","display_name":"inverse probability weighting","score":0.9679999947547913},{"id":"https://openalex.org/keywords/average-treatment-effect","display_name":"average treatment effect","score":0.7699999809265137},{"id":"https://openalex.org/keywords/statistical-power","display_name":"statistical power","score":0.9319999814033508},{"id":"https://openalex.org/keywords/variance-estimation","display_name":"variance estimation","score":0.9150000214576721},{"id":"https://openalex.org/keywords/double-robustness","display_name":"double robustness","score":0.9229999780654907},{"id":"https://openalex.org/keywords/outcome-model","display_name":"outcome model","score":0.6050000190734863}],"concepts":[{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.8034049868583679},{"id":"https://openalex.org/C2779915747","wikidata":"https://www.wikidata.org/wiki/Q17058619","display_name":"Inverse probability weighting","level":3,"score":0.7972107529640198},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7951185703277588},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.713914692401886},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6639549732208252},{"id":"https://openalex.org/C35981017","wikidata":"https://www.wikidata.org/wiki/Q6060409","display_name":"Inverse probability","level":4,"score":0.6178333163261414},{"id":"https://openalex.org/C89337504","wikidata":"https://www.wikidata.org/wiki/Q4828276","display_name":"Average treatment effect","level":3,"score":0.5807979106903076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48000067472457886},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45019862055778503},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4473938047885895},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.43355515599250793},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.41220802068710327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4077628552913666},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.2230950891971588},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.15438833832740784},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07660338282585144},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006348","descriptor_name":"Cardiac Surgical Procedures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D007430","descriptor_name":"Intraoperative Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007902","descriptor_name":"Length of Stay","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017707","descriptor_name":"Erythrocyte Transfusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057216","descriptor_name":"Propensity Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D064887","descriptor_name":"Observational Studies as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1177/0962280218781171","doi":"https://doi.org/10.1177/0962280218781171","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0962280218781171","pdf_url":null,"source":{"id":"https://openalex.org/S150263959","display_name":"Statistical Methods in Medical Research","issn_l":"0962-2802","issn":["0962-2802","1477-0334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Methods in Medical Research","raw_type":"journal-article"},{"id":"pmid:29921162","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29921162","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,"listed_in":[],"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":"Statistical methods in medical research","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G9000878657","display_name":"Cancer Center Support Grant","funder_award_id":"P30CA016672","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1963921006","https://openalex.org/W1987537206","https://openalex.org/W1988560008","https://openalex.org/W2009187570","https://openalex.org/W2022420916","https://openalex.org/W2023899575","https://openalex.org/W2027515467","https://openalex.org/W2037850256","https://openalex.org/W2040880477","https://openalex.org/W2054723033","https://openalex.org/W2060316606","https://openalex.org/W2060350588","https://openalex.org/W2062359643","https://openalex.org/W2064790857","https://openalex.org/W2088764389","https://openalex.org/W2116943185","https://openalex.org/W2126049444","https://openalex.org/W2137370054","https://openalex.org/W2144113585","https://openalex.org/W2150291618","https://openalex.org/W2152849583","https://openalex.org/W2156839371","https://openalex.org/W2168639902","https://openalex.org/W2169425545","https://openalex.org/W2171443468","https://openalex.org/W2176874128","https://openalex.org/W2306510386","https://openalex.org/W2345125502","https://openalex.org/W2761665523","https://openalex.org/W2791096246","https://openalex.org/W3023110406","https://openalex.org/W3099724350","https://openalex.org/W3121385028","https://openalex.org/W3122193054","https://openalex.org/W3124120302"],"related_works":["https://openalex.org/W2799991522","https://openalex.org/W4387927992","https://openalex.org/W3033364972","https://openalex.org/W3137816421","https://openalex.org/W4292454352","https://openalex.org/W2907932858","https://openalex.org/W1972121266","https://openalex.org/W1613094674","https://openalex.org/W7096415989","https://openalex.org/W7152032675"],"abstract_inverted_index":{"Inverse":[0],"probability":[1,56,114,143],"weighting":[2,57,115,144],"can":[3,60,104],"be":[4,36,61],"used":[5,62],"to":[6,63,72],"estimate":[7],"the":[8,23,28,70,75,87,101,130,134,140],"average":[9,76],"treatment":[10,29,77,90],"effect":[11,91],"in":[12,22,44,108,175],"propensity":[13,24,118,136],"score":[14,25,119],"analysis.":[15],"When":[16],"there":[17],"is":[18,173],"lack":[19,97],"of":[20,53,89,98,133],"overlap":[21,99],"distributions":[26],"between":[27],"groups":[30],"under":[31],"comparison,":[32],"some":[33,81],"weights":[34,68,103],"may":[35],"excessively":[37],"large,":[38],"causing":[39],"numerical":[40],"instability":[41],"and":[42,46,116,138,162],"bias":[43],"point":[45],"variance":[47,124],"estimation.":[48],"We":[49,79,93,121],"study":[50],"a":[51,152,163],"class":[52],"modified":[54,102,141],"inverse":[55,113,142],"estimators":[58],"that":[59,95,126,154],"avoid":[64],"this":[65,84],"problem.":[66],"These":[67],"cause":[69],"estimand":[71],"deviate":[73],"from":[74,86,159],"effect.":[78],"provide":[80],"justification":[82],"for":[83,129,149],"deviation":[85],"perspective":[88],"discovery.":[92],"show":[94],"when":[96],"occurs,":[100],"achieve":[105],"substantial":[106],"gains":[107],"statistical":[109],"power":[110],"compared":[111],"with":[112,146],"other":[117],"methods.":[120],"develop":[122],"analytical":[123],"estimates":[125],"properly":[127],"adjust":[128],"sampling":[131],"variability":[132],"estimated":[135],"scores,":[137],"augment":[139],"estimator":[145],"outcome":[147],"models":[148],"improved":[150],"efficiency,":[151],"property":[153],"resembles":[155],"double":[156],"robustness.":[157],"Results":[158],"extensive":[160],"simulations":[161],"real":[164],"data":[165],"application":[166],"support":[167],"our":[168],"conclusions.":[169],"The":[170],"proposed":[171],"methodology":[172],"implemented":[174],"R":[176],"package":[177],"PSW.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2018-06-29T00:00:00"}