Body Composition Analyses Require Compositional Data Analytic (CoDA) Methods
Sign Up to like & getrecommendations! Published in 2021 at "Obesity"
DOI: 10.1002/oby.23132
Abstract: It is generally recognized that obesity is a heterogeneous state, in which individuals with obesity can have different underlying body compositions and, subsequently, differential health risks. Understanding the independent contributions of tissue types (adipose tissues,… read more here.
Keywords: body composition; compositional data; analytic coda; data analytic ... See more keywords
Modeling and visualizing two-way contingency tables using compositional data analysis: A case-study on individual self-prediction of migraine days.
Sign Up to like & getrecommendations! Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8769
Abstract: Two-way contingency tables arise in many fields, such as in medical studies, where the relation between two discrete random variables or responses is to be assessed. We propose to analyze and visualize a sample of… read more here.
Keywords: two way; way contingency; compositional data; self prediction ... See more keywords
“Compositional Data Analysis in Practice” by Michael Greenacre Universitat Pompeu Fabra (Barcelona, Spain), Chapman and Hall/CRC, 2018
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Classification"
DOI: 10.1007/s00357-020-09364-3
Abstract: This 122-page book is intended to be a practical guide to CoDa analysis and its easyto-read format and didactic layout are designed for students and researchers alike from different fields. For more insight, the interested… read more here.
Keywords: analysis practice; data analysis; analysis; compositional data ... See more keywords
Michael Greenacre: Compositional Data Analysis in Practice
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Geosciences"
DOI: 10.1007/s11004-019-09804-w
Abstract: “Compositional data analysis in practice” (121 pages, including indices and appendices) by Michael Greenacre is a slim, colourful book that introduces compositional data analysis from the point of view of a statistician, illustrating concepts and… read more here.
Keywords: analysis practice; data analysis; analysis; compositional data ... See more keywords
Constraining the distribution of elements and their controlling factors in the Zhaojikou Pb–Zn ore deposit, SE China, via fractal and compositional data analysis
Sign Up to like & getrecommendations! Published in 2019 at "Applied Geochemistry"
DOI: 10.1016/j.apgeochem.2019.104379
Abstract: Abstract The distribution of elements in soil is affected by various natural processes, and therefore, it is essential that exploration geochemists are able to recognize whether an elemental concentration is related to mineralization or other… read more here.
Keywords: area; compositional data; distribution elements; distribution ... See more keywords
Application of compositional data analysis in geochemical exploration for concealed deposits: A case study of Ashele copper-zinc deposit, Xinjiang, China
Sign Up to like & getrecommendations! Published in 2021 at "Applied Geochemistry"
DOI: 10.1016/j.apgeochem.2021.104997
Abstract: Abstract One of the top priorities of ore body exploration geochemistry is to effectively identifying “anomalies” and separating them from “background” in geochemical data analyses, during which an accurate understanding of geochemical distribution patterns of… read more here.
Keywords: compositional data; geochemistry; study; principal component ... See more keywords
Tentative application of compositional data analysis to the fatty acid profiles of green Spanish-style Gordal table olives.
Sign Up to like & getrecommendations! Published in 2018 at "Food chemistry"
DOI: 10.1016/j.foodchem.2017.08.064
Abstract: Conventional multivariate and compositional data analyses were applied tentatively to investigate the effects of processing steps and fat extraction systems on the fatty acid profiles of green Spanish-style Gordal table olives. In the first case,… read more here.
Keywords: green spanish; acid profiles; fatty acid; compositional data ... See more keywords
Compositional data analysis of 24-hour movement behaviors and mental health in workers
Sign Up to like & getrecommendations! Published in 2020 at "Preventive Medicine Reports"
DOI: 10.1016/j.pmedr.2020.101213
Abstract: Highlights • Time in sleep was favorably associated with mental distress and work engagement.• Sedentary behavior (SB) was negatively correlated with distress and work engagement.• Light-intensity physical activity (LPA) was negatively correlated with distress.• Reallocating… read more here.
Keywords: analysis hour; data analysis; compositional data; hour movement ... See more keywords
Volatile profiles of green Spanish-style table olives: Application of compositional data analysis for the segregation of their cultivars and production areas.
Sign Up to like & getrecommendations! Published in 2017 at "Talanta"
DOI: 10.1016/j.talanta.2017.03.066
Abstract: The work presents the application of compositional data methodology to analytical results, taking as an example the study of the volatile profiles of green Spanish-style table olives according to cultivars and production areas. For this… read more here.
Keywords: methodology; analysis; compositional data; application compositional ... See more keywords
Comparison of two independent populations of compositional data with positive correlations among components using a nested dirichlet distribution.
Sign Up to like & getrecommendations! Published in 2024 at "Psychological methods"
DOI: 10.1037/met0000702
Abstract: Compositional data are multivariate data made up of components that sum to a fixed value. Often the data are presented as proportions of a whole, where the value of each component is constrained to be… read more here.
Keywords: nested dirichlet; distribution; dirichlet distribution; compositional data ... See more keywords
Bayesian multilevel compositional data analysis: Introduction, evaluation, and application.
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DOI: 10.1037/met0000750
Abstract: Multilevel compositional data are data that are repeatedly measured or clustered within groups, and are nonnegative and sum to a constant value. These data arise in various settings, such as intensive, longitudinal studies using ecological… read more here.
Keywords: method; compositional data; bayesian multilevel; multilevel compositional ... See more keywords