On Interpretations of tests and effect sizes in regression models with a compositional predictor
dc.contributor.author
dc.date.accessioned
2021-02-15T07:54:05Z
dc.date.available
2021-02-15T07:54:05Z
dc.date.issued
2020-06-26
dc.identifier.issn
1696-2281
dc.identifier.uri
dc.description.abstract
Compositional data analysis is concerned with the relative importance of positive variables, expressed through their log-ratios. The literature has proposed a range of manners to compute log-ratios, some of whose interrelationships have never been reported when used as explanatory variables in regressionmodels. This article shows their similarities and differences in interpretation based on the notion that one log-ratio has to be interpreted keeping all others constant. The article shows that centred, additive, pivot, balance and pairwise log-ratios lead to simple reparametrizations of the same model which can be combined to provide useful tests and comparable effect size estimates
dc.description.sponsorship
The article was supported by the Spanish Ministry of Science, Innovation and Universities/FEDER (grant RTI2018-095518-B-C21), the Spanish Ministry of Health (grant CIBER CB06/02/1002) and the Catalan Government (grant 2017SGR656)
dc.format.extent
20 p.
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Institut d'Estadística de Catalunya (Idescat)
dc.relation
RTI2018-095518-B-C21
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Reproducció digital del document publicat a: https://doi.org/10.2436/20.8080.02.100
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SORT: statistics and operations research transactions, 2020, vol. 44, núm. 1, p. 201-220
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Articles publicats (D-EC)
dc.rights
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
dc.rights.uri
dc.source
Coenders, Germà Pawlowsky-Glahn, Vera 2020 On Interpretations of tests and effect sizes in regression models with a compositional predictor SORT: statistics and operations research transactions 44 1 201 220
dc.subject
dc.title
On Interpretations of tests and effect sizes in regression models with a compositional predictor
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
031681
dc.contributor.funder
dc.type.peerreviewed
peer-reviewed
dc.relation.FundingProgramme
dc.relation.ProjectAcronym
dc.identifier.eissn
2013-8830