{"id":"https://openalex.org/W2890556575","doi":null,"title":"Systematic Evaluation and Comparison of Entropy Balancing and Covariate Balancing Propensity Score Methods","display_name":"Systematic Evaluation and Comparison of Entropy Balancing and Covariate Balancing Propensity Score Methods","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2890556575","mag":"2890556575"},"language":"en","primary_location":{"id":"pmh:oai:fordham.bepress.com:dissertations-7692","doi":null,"is_oa":false,"landing_page_url":"https://fordham.bepress.com/dissertations/AAI10278790","pdf_url":null,"source":{"id":"https://openalex.org/S4377196473","display_name":"Fordham Research Commons (Fordham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I164389053","host_organization_name":"Fordham University","host_organization_lineage":["https://openalex.org/I164389053"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ETD Collection for Fordham University","raw_type":"text"},"volume":null,"type":"dissertation","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/A5057397385","display_name":"Evgeniya Reshetnyak","orcid":"https://orcid.org/0000-0001-9478-4405","observed_orcids":["https://orcid.org/0000-0001-9478-4405"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Evgeniya Reshetnyak","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9478-4405","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5057397385"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":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/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"}},{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.0,"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/entropy-balancing","display_name":"entropy balancing","score":0.9359999895095825},{"id":"https://openalex.org/keywords/covariate-balancing-propensity-score","display_name":"covariate balancing propensity score","score":0.9850000143051147},{"id":"https://openalex.org/keywords/propensity-score-estimation","display_name":"propensity score estimation","score":0.7870000004768372},{"id":"https://openalex.org/keywords/covariate-balance","display_name":"covariate balance","score":0.8450000286102295},{"id":"https://openalex.org/keywords/treatment-effect-estimation","display_name":"treatment effect estimation","score":0.9259999990463257},{"id":"https://openalex.org/keywords/average-treatment-effect","display_name":"average treatment effect","score":0.7020000219345093},{"id":"https://openalex.org/keywords/observational-studies","display_name":"observational studies","score":0.5770000219345093},{"id":"https://openalex.org/keywords/model-misspecification","display_name":"model misspecification","score":0.6990000009536743},{"id":"https://openalex.org/keywords/weighting-methods","display_name":"weighting schemes","score":0.4569999873638153},{"id":"https://openalex.org/keywords/binary-outcomes","display_name":"binary outcomes","score":0.5070000290870667},{"id":"https://openalex.org/keywords/count-outcomes","display_name":"count outcomes","score":0.9010000228881836},{"id":"https://openalex.org/keywords/continuous-outcomes","display_name":"continuous outcomes","score":0.8140000104904175}],"concepts":[{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.8126734495162964},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7694097757339478},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5570968985557556},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.43819910287857056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3642948865890503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33608075976371765}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:fordham.bepress.com:dissertations-7692","doi":null,"is_oa":false,"landing_page_url":"https://fordham.bepress.com/dissertations/AAI10278790","pdf_url":null,"source":{"id":"https://openalex.org/S4377196473","display_name":"Fordham Research Commons (Fordham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I164389053","host_organization_name":"Fordham University","host_organization_lineage":["https://openalex.org/I164389053"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ETD Collection for Fordham University","raw_type":"text"},{"id":"mag:2890556575","doi":null,"is_oa":false,"landing_page_url":"https://fordham.bepress.com/dissertations/AAI10278790","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":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7100328826","https://openalex.org/W2132324013","https://openalex.org/W7219399103","https://openalex.org/W2158460222","https://openalex.org/W2984678179","https://openalex.org/W6886085802","https://openalex.org/W7036761624","https://openalex.org/W2337049540","https://openalex.org/W7053246032","https://openalex.org/W7006658860"],"abstract_inverted_index":{"Propensity":[0,97],"scores":[1,17,41,48,71,119,227,259],"methodology":[2,42],"is":[3,43],"a":[4,84],"popular":[5],"approach":[6],"to":[7,31,53,91,145],"treatment":[8,25,34,178],"effect":[9,179],"estimation":[10,180],"in":[11,253],"observational":[12],"research.":[13],"Correctly":[14],"specified":[15,58],"propensity":[16,40,47,70,118,163,226,258],"guarantee":[18],"the":[19,45,140,146,183,206,222,243,254],"balance":[20,76,123],"of":[21,39,66,69,86,117,128,134,172,177,221,256],"pre-treatment":[22,109],"covariates":[23],"between":[24,245],"and":[26,29,51,78,93,100,111,137,150,212,247],"control":[27],"groups,":[28],"lead":[30],"unbiased":[32,203],"estimated":[33,55],"effect.":[35],"The":[36,125,169],"major":[37],"challenge":[38],"that":[44,104,185],"true":[46,162,225,257],"are":[49],"unknown":[50],"need":[52],"be":[54],"using":[56],"correctly":[57],"model.":[59],"Typically,":[60],"researchers":[61],"go":[62],"through":[63],"several":[64],"rounds":[65],"manual":[67,115],"specification":[68,116],"model,":[72],"followed":[73],"by":[74,188],"covariate":[75,122],"check":[77],"model\u2019s":[79],"correction.":[80],"In":[81,205,238],"this":[82,129,173],"dissertation":[83,130],"series":[85],"simulation":[87],"studies":[88],"were":[89,186],"conducted":[90],"evaluate":[92],"compare":[94],"Covariate":[95],"Balancing":[96],"Scores":[98],"(CBPS)":[99],"entropy":[101,151,213,248,265],"balancing":[102,132,152,214,249,266],"methods,":[103],"automatically":[105],"equate":[106],"groups":[107],"on":[108,182],"measures,":[110],"do":[112],"not":[113],"require":[114],"model":[120,165,260],"or":[121],"check.":[124],"first":[126],"part":[127,171],"assessed":[131],"properties":[133],"these":[135,189],"methods":[136,200],"compared":[138],"with":[139,208,218,224,240,261],"traditional":[141],"weighting":[142],"techniques.":[143],"According":[144],"results,":[147],"both":[148],"CBPS":[149,156,211,233,246],"produced":[153,201,234,267],"well-balanced":[154],"data;":[155],"showed":[157],"slightly":[158],"worse":[159],"results":[160],"when":[161,232],"score":[164],"contained":[166],"cubic":[167,230,262],"effects.":[168],"second":[170],"work":[174],"evaluated":[175],"accuracy":[176],"(ATT)":[181],"data":[184],"preprocessed":[187],"methods.":[190],"When":[191],"an":[192,219],"outcome":[193,210,242],"was":[194,250],"continuous,":[195],"all":[196],"techniques":[197],"including":[198],"reference":[199],"similar":[202],"results.":[204,237,270],"models":[207,228],"binary":[209],"performed":[215],"equally":[216],"well":[217],"exception":[220],"scenarios":[223,255],"containing":[229],"effects,":[231,263],"less":[235,268],"biased":[236,269],"conditions":[239],"count":[241],"difference":[244],"observed":[251],"only":[252],"where":[264]},"counts_by_year":[],"updated_date":"2026-09-09T07:26:56.047234","created_date":"2018-09-27T00:00:00"}
