Compositional data analysis for physical activity, sedentary time and sleep research
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Dumuid, D, Stanford, TE, Martin-Ferna´ndez, JA, Pedisic, Zeljko, Maher, C, Lewis, LK, Hron, K, Katzmarzyk, K, Chaput, JP, Fogelholm, M, Hu, G, Lambert, E, Maia, J, Sarmiento, OL, Standage, M, Barreira, TV, Broyles, ST, Tudor-Locke, C, Tremblay, M and Olds, T (2017) Compositional data analysis for physical activity, sedentary time and sleep research. Statistical Methods in Medical Research. 1 - 13. ISSN 1477-0334
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/36048 |
DOI | https://doi.org/10.1177/0962280217710835 |
Official URL | http://journals.sagepub.com/doi/abs/10.1177/096228... |
Subjects | Historical > FOR Classification > 0104 Statistics Historical > FOR Classification > 1117 Public Health and Health Services Current > Division/Research > College of Sports and Exercise Science |
Keywords | behaviours; multicollinearity; daily activity bahaviour; health effects |
Citations in Scopus | 212 - View on Scopus |
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