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Double robustness without weighting

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dc.contributor.authorLee, Myoung-jae-
dc.contributor.authorLee, Sanghyeok-
dc.date.accessioned2021-09-01T18:16:36Z-
dc.date.available2021-09-01T18:16:36Z-
dc.date.created2021-06-19-
dc.date.issued2019-03-
dc.identifier.issn0167-7152-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/67212-
dc.description.abstractIn contrast to the well-known propensity score (PS), the lesser known 'prognostic score (PGS)' balances the potential untreated response. This paper shows that 'double robustness' can be achieved by controlling both PS and PGS in various ways in a "method-blind" manner. (C) 2018 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.subjectCAUSAL INFERENCE-
dc.subjectPROPENSITY SCORE-
dc.subjectMODEL CHECKS-
dc.subjectMISSING DATA-
dc.titleDouble robustness without weighting-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Myoung-jae-
dc.identifier.doi10.1016/j.spl.2018.11.017-
dc.identifier.scopusid2-s2.0-85057506663-
dc.identifier.wosid000456906900025-
dc.identifier.bibliographicCitationSTATISTICS & PROBABILITY LETTERS, v.146, pp.175 - 180-
dc.relation.isPartOfSTATISTICS & PROBABILITY LETTERS-
dc.citation.titleSTATISTICS & PROBABILITY LETTERS-
dc.citation.volume146-
dc.citation.startPage175-
dc.citation.endPage180-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordPlusCAUSAL INFERENCE-
dc.subject.keywordPlusPROPENSITY SCORE-
dc.subject.keywordPlusMODEL CHECKS-
dc.subject.keywordPlusMISSING DATA-
dc.subject.keywordAuthorPropensity score-
dc.subject.keywordAuthorPrognostic score-
dc.subject.keywordAuthorDouble robustness-
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