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Single versus Multiple Imputation Methods Applied to Classify Dyslipidemic Patients Concerning Statin Usage: a Comparative Performance Study

2020-10Conference object Open access
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dc.contributor.authorAlbuquerque, João
dc.contributor.authorAlves, Ana C.
dc.contributor.authorMedeiros, Ana M.
dc.contributor.authorBourbon, Mafalda
dc.contributor.authorAntunes, Marília
dc.date.accessioned2021-04-30T15:21:07Z
dc.date.available2021-04-30T15:21:07Z
dc.date.issued2020-10
dc.description.abstractIntroduction: One ofthe greatest challenges when working with clinical datasetsisto decide howto deal withmissing values. Removing observations with any missing values priorto data analysis, a process defined aslistwise deletion, is the standard default procedure in most statistical software packages, but may lead to great loss of valuable information [1]. The use of robust imputation methods may provide accurate estimates for missing values, allowing to include these observations into the analysis. The imputation strategy to adopt depends on the amount and type of missing information, and also on the relation between variables, allying statistical expertise with clinical understanding of the data. The main purpose of this work was to compare the performance oftwo differentmethods ofimputationto overcomemissingness on dyslipidemic patients regarding statin usage.pt_PT
dc.description.sponsorshipResearch supported by the programme Norte2020 (operação NORTE-08-5369-FSE-000018) and by national FCT funds under the projects UID/MAT/00006/2019 and PTDC/SAU-SER/29180/2017pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationJ Stat Health Decis. 2020;2(2):73-74. doi:10.34624/jshd.v2i2.21156pt_PT
dc.identifier.doi10.34624/jshd.v2i2.21156pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.18/7720
dc.language.isoporpt_PT
dc.peerreviewedyespt_PT
dc.relationCentre of Statistics and its Applications
dc.relationDyslipidaemia stratification : new screening tools for a cost effective approach
dc.relation.publisherversionhttps://proa.ua.pt/index.php/jshd/article/view/21156/15363pt_PT
dc.subjectData Imputationpt_PT
dc.subjectStatinspt_PT
dc.subjectDyslipidemiapt_PT
dc.subjectDoenças Cardio e Cérebro-vascularespt_PT
dc.titleSingle versus Multiple Imputation Methods Applied to Classify Dyslipidemic Patients Concerning Statin Usage: a Comparative Performance Studypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleCentre of Statistics and its Applications
oaire.awardTitleDyslipidaemia stratification : new screening tools for a cost effective approach
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F00006%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FSAU-SER%2F29180%2F2017/PT
oaire.citation.conferencePlace(online)pt_PT
oaire.citation.title2nd Statistics on Health Decision Making, 23 October 2020pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofctAcesso de acordo com Editorpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isProjectOfPublicationd9faf814-0ee6-4214-92c8-4fd692956da5
relation.isProjectOfPublicationcde71551-1825-44a0-bc4d-e85c0e2955c8
relation.isProjectOfPublication.latestForDiscoverycde71551-1825-44a0-bc4d-e85c0e2955c8

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