Variable selection and importance in presence of high collinearity: an application to the prediction of lean body mass from multi-frequency bioelectrical impedance-Reference-Cited by-同舟云学术

Variable selection and importance in presence of high collinearity: an application to the prediction of lean body mass from multi-frequency bioelectrical impedance

Published:2020-05-13 Issue:9 Volume:48 Page:1644-1658
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Cammarota Camillo¹^ORCID,Pinto Alessandro²

Affiliation:

1. Department of Mathematics, “Sapienza” University of Rome, Rome, Italy

2. Department of Experimental Medicine, Research Unit on “Food Science and Human Nutrition”, “Sapienza” University of Rome, Rome, Italy

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2020.1763930

Reference37 articles.

1. Empirical characterization of random forest variable importance measures

2. A random forest guided tour

3. Predicting risk for adverse health events using random forest

4. Multi-frequency impedance for the prediction of extracellular water and total body water

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