{"id":"https://openalex.org/W4387927992","doi":"https://doi.org/10.5351/kjas.2023.36.5.381","title":"A simulation study for various propensity score weighting methods in clinical problematic situations","display_name":"A simulation study for various propensity score weighting methods in clinical problematic situations","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4387927992","doi":"https://doi.org/10.5351/kjas.2023.36.5.381"},"language":"en","primary_location":{"id":"doi:10.5351/kjas.2023.36.5.381","doi":"https://doi.org/10.5351/kjas.2023.36.5.381","is_oa":true,"landing_page_url":"https://doi.org/10.5351/kjas.2023.36.5.381","pdf_url":"https://pdf.medrang.co.kr/KJAS/2023/036/KJAS036-05-381.pdf","source":{"id":"https://openalex.org/S4210218255","display_name":"Korean Journal of Applied Statistics","issn_l":"1225-066X","issn":["1225-066X","2383-5818"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-c","kci-registered","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4360969203","host_organization_name":"Korean Statistical Society","host_organization_lineage":["https://openalex.org/P4360969203"],"host_organization_lineage_names":["Korean Statistical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Korean Journal of Applied Statistics","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W4387927992"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://pdf.medrang.co.kr/KJAS/2023/036/KJAS036-05-381.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034214587","display_name":"Siseong Jeong","orcid":"https://orcid.org/0000-0003-1557-3760","observed_orcids":["https://orcid.org/0000-0003-1557-3760"]},"institutions":[{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Siseong Jeong","raw_affiliation_strings":["Department of Biomedicine & Health Sciences, The Catholic University of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedicine & Health Sciences, The Catholic University of Korea","institution_ids":["https://openalex.org/I87111246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018467194","display_name":"Eun Jeong Min","orcid":"https://orcid.org/0000-0002-6199-4737","observed_orcids":["https://orcid.org/0000-0002-6199-4737"]},"institutions":[{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eun Jeong Min","raw_affiliation_strings":["Department of Biomedicine & Health Sciences, The Catholic University of Korea","Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedicine & Health Sciences, The Catholic University of Korea","institution_ids":["https://openalex.org/I87111246"]},{"raw_affiliation_string":"Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea","institution_ids":["https://openalex.org/I87111246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87111246"],"apc_list":null,"apc_paid":null,"fwci":0.1489,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35281636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"36","issue":"5","first_page":"381","last_page":"397"},"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":0.00019999999494757503,"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/T14374","display_name":"Statistical Methods in Epidemiology","score":9.999999747378752e-05,"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-weighting","display_name":"propensity score weighting","score":0.9900000095367432},{"id":"https://openalex.org/keywords/inverse-probability-weighting","display_name":"inverse probability weighting","score":0.9909999966621399},{"id":"https://openalex.org/keywords/trimming","display_name":"trimming","score":0.6869999766349792},{"id":"https://openalex.org/keywords/observational-studies","display_name":"observational studies","score":0.6620000004768372},{"id":"https://openalex.org/keywords/confounder-adjustment","display_name":"confounding adjustment","score":0.8389999866485596},{"id":"https://openalex.org/keywords/treatment-effect-estimation","display_name":"treatment effect estimation","score":0.7170000076293945},{"id":"https://openalex.org/keywords/treatment-heterogeneity","display_name":"treatment effect heterogeneity","score":0.4950000047683716}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7783781290054321},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.7208461761474609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4761143624782562},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4249817132949829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3745674788951874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3211183249950409},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.286005437374115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2800213098526001},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0518316924571991}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5351/kjas.2023.36.5.381","doi":"https://doi.org/10.5351/kjas.2023.36.5.381","is_oa":true,"landing_page_url":"https://doi.org/10.5351/kjas.2023.36.5.381","pdf_url":"https://pdf.medrang.co.kr/KJAS/2023/036/KJAS036-05-381.pdf","source":{"id":"https://openalex.org/S4210218255","display_name":"Korean Journal of Applied Statistics","issn_l":"1225-066X","issn":["1225-066X","2383-5818"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-c","kci-registered","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4360969203","host_organization_name":"Korean Statistical Society","host_organization_lineage":["https://openalex.org/P4360969203"],"host_organization_lineage_names":["Korean Statistical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Korean Journal of Applied Statistics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5351/kjas.2023.36.5.381","doi":"https://doi.org/10.5351/kjas.2023.36.5.381","is_oa":true,"landing_page_url":"https://doi.org/10.5351/kjas.2023.36.5.381","pdf_url":"https://pdf.medrang.co.kr/KJAS/2023/036/KJAS036-05-381.pdf","source":{"id":"https://openalex.org/S4210218255","display_name":"Korean Journal of Applied Statistics","issn_l":"1225-066X","issn":["1225-066X","2383-5818"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-c","kci-registered","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4360969203","host_organization_name":"Korean Statistical Society","host_organization_lineage":["https://openalex.org/P4360969203"],"host_organization_lineage_names":["Korean Statistical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Korean Journal of Applied Statistics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4000000059604645}],"study_designs":[],"awards":[{"id":"https://openalex.org/G11303404","display_name":null,"funder_award_id":"2021R1F1A1058613","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G649312999","display_name":null,"funder_award_id":"NRF-2021R1F1A1058613","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8313404967","display_name":null,"funder_award_id":"2021R1F1A1058613","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387927992.pdf","grobid_xml":"https://content.openalex.org/works/W4387927992.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1964475341","https://openalex.org/W1982615924","https://openalex.org/W2022420916","https://openalex.org/W2027515467","https://openalex.org/W2060316606","https://openalex.org/W2082299845","https://openalex.org/W2093130286","https://openalex.org/W2107176478","https://openalex.org/W2110818436","https://openalex.org/W2111245922","https://openalex.org/W2116943185","https://openalex.org/W2131850093","https://openalex.org/W2132917208","https://openalex.org/W2144113585","https://openalex.org/W2150291618","https://openalex.org/W2155163959","https://openalex.org/W2156740421","https://openalex.org/W2168639902","https://openalex.org/W2314734263","https://openalex.org/W2345125502","https://openalex.org/W2536226144","https://openalex.org/W2808972545","https://openalex.org/W2907932858","https://openalex.org/W2934100077","https://openalex.org/W2966045482","https://openalex.org/W3012460151","https://openalex.org/W3033364972","https://openalex.org/W3111756341","https://openalex.org/W3122193054","https://openalex.org/W3131812677","https://openalex.org/W4200134140","https://openalex.org/W4234961057","https://openalex.org/W4285592479"],"related_works":["https://openalex.org/W3033364972","https://openalex.org/W2907932858","https://openalex.org/W2808972545","https://openalex.org/W7026172155","https://openalex.org/W3044877907","https://openalex.org/W4403525116","https://openalex.org/W656343817","https://openalex.org/W4388032792","https://openalex.org/W3126830542","https://openalex.org/W4388556677"],"abstract_inverted_index":{"The":[0],"most":[1,72],"representative":[2],"design":[3],"used":[4,12,51],"in":[5,28,106,174],"clinical":[6],"trials":[7],"is":[8,11,34,48,98],"randomization,":[9],"which":[10],"to":[13,37,53,58,80,124,135,157],"accurately":[14],"estimate":[15],"the":[16,21,25,71,81,84,159],"treatment":[17,22,67,91,155],"effect.However,":[18],"comparison":[19],"between":[20,44],"group":[23,27],"and":[24,57,65,109,118,154,164,172,182],"control":[26],"an":[29],"observational":[30],"study":[31,134],"without":[32],"randomization":[33],"biased":[35,107],"due":[36],"various":[38,139],"unadjusted":[39],"differences,":[40],"such":[41,147],"as":[42,148],"characteristics":[43],"patients.Propensity":[45],"score":[46,141],"weighting":[47,142,171],"a":[49,89,132],"widely":[50],"method":[52,97],"address":[54],"these":[55,126],"problems":[56],"minimize":[59],"bias":[60],"by":[61,101],"adjusting":[62],"those":[63],"confounding":[64],"assess":[66],"effects.Inverse":[68],"probability":[69,86,170],"weighting,":[70],"popular":[73],"method,":[74],"assigns":[75],"weights":[76,120,163,166],"that":[77],"are":[78],"proportional":[79],"inverse":[82,169],"of":[83,87,138,176],"conditional":[85],"receiving":[88],"specific":[90],"assignment,":[92],"given":[93],"observed":[94],"covariates.However,":[95],"this":[96,128],"often":[99],"suffered":[100],"extreme":[102],"propensity":[103,140,152],"scores,":[104],"resulting":[105],"estimates":[108],"excessive":[110],"variance.Several":[111],"alternative":[112],"methods":[113,143],"including":[114],"trimming,":[115],"overlap":[116,162],"weights,":[117],"matching":[119,165],"have":[121],"been":[122],"proposed":[123],"mitigate":[125],"issues.In":[127],"paper,":[129],"we":[130],"conduct":[131],"simulation":[133,160],"compare":[136],"performance":[137],"under":[144],"diverse":[145],"situation,":[146],"limited":[149],"overlap,":[150],"misspecified":[151],"score,":[153],"contrary":[156],"prediction.From":[158],"results":[161],"consistently":[167],"outperform":[168],"trimming":[173],"terms":[175],"bias,":[177],"root":[178],"mean":[179],"squared":[180],"error":[181],"coverage":[183],"probability.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-10-25T00:00:00"}
