On Interpretations of tests and effect sizes in regression models with a compositional predictor

DOI10.2436/20.8080.02.100zbMath1442.62152OpenAlexW3092713621MaRDI QIDQ4969272

Germá Coenders, Vera Pawlowsky-Glahn

Publication date: 5 October 2020

Full work available at URL: https://ddd.uab.cat/pub/sort/sort_a2020v44n1/sort_a2020v44n1p201.pdf

zbMATH Keywords

effect sizeCoDapivot coordinatesadditive log-ratioscentred log-ratioscomposition as explanatorycompositional regression modelspairwise log-ratios

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Hypothesis testing in multivariate analysis (62H15)

Related Items (3)

Three approaches to supervised learning for compositional data with pairwise logratios ⋮ Aitchison's compositional data analysis 40 years on: a reappraisal ⋮ Analysing pairwise logratios revisited

Uses Software

• zCompositions

Cites Work

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• Variable selection in regression with compositional covariates
• New perspectives on water chemistry and compositional data analysis
• Advances in principal balances for compositional data
• Principal component analysis of compositional data
• Analyzing Compositional Data with R
• Linear regression with compositional explanatory variables
• When relative and absolute information matter: Compositional predictor with a total in generalized linear models

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