The DOI matches its Crossref record.
Compositional Data Analysis: Theory and Applications
Abstract
It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science.
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In the citing paper
“Indeed, the distribution of time spent in physical behaviors is by nature intrinsically compositional[11,12].”
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Inferring Correlation Networks from Genomic Survey Data
Friedman, J., & Alm, E. J. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002687 · Cited by 2,765
“…between ratios whose numerators and denominators contain common parts’’ [11], and since that time it has been shown that many other standard analysis techniques are invalid when applied to such compositional data, and that their interpretation is unreliable and often misleading [10], [12], [13].”
BackgroundMethodBayesian stable isotope mixing models
Parnell, A. C., Phillips, D. L., Bearhop, S., Semmens, B. X., Ward, E. J., Moore, J. W., Jackson, A. L., Grey, J., Kelly, D. J. A., & Inger, R. (2013) · Environmetrics · doi:10.1002/env.2221 · Cited by 1,099
“It is209 also not sub-compositionally coherent (see Pawlowsky-Glahn and Buccianti, 2011, for further discussion of210 these terms).”
BackgroundChastin, S. F. M., Palarea-Albaladejo, J., Dontje, M. L., & Skelton, D. A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139984 · Cited by 1,034
“Indeed, the distribution of time spent in physical behaviors is by nature intrinsically compositional[11,12].”
Palarea‐Albaladejo, J., & Fernández, J. A. M. (2015) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2015.02.019 · Cited by 963
US immigration westernizes the human gut microbiome
Vangay, P., Johnson, A. J., Ward, T. L., Al-Ghalith, G. A., Shields-Cutler, R. R., Hillmann, B. M., Lucas, S. K., Beura, L. K., Thompson, E. A., Till, L. M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.029 · Cited by 794
“Aitchison’s distances were calculated by first imputing zeros from an abundance OTU table, then applying a centered log ratio transform using the robCompositions R package (Pawlowsky-Glahn and Buccianti, 2011).”
Method
Metadata
- Authors
- Glahn, V. P., & Buccianti, A.
- ORCID
- Antonella Buccianti
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2011-07-28
- OpenAlex
- W571770348
- Cited by
- 704
- References
- 0
- Citations by year
- 2026: 30 · 2025: 38 · 2024: 34 · 2023: 40 · 2022: 45 · 2021: 71 · 2020: 71 · 2019: 46 · 2018: 61 · 2017: 60 · 2016: 52 · 2015: 42 · 2014: 47 · 2013: 37 · 2012: 22
- FWCI
- 14.85
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Florence Research (University of Florence) (submittedVersion)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Geochemistry and Petrology › Geochemistry and Geologic Mapping
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- compositional data analysis, spurious correlations, parts and wholes
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