We discuss a practical and effective framework to estimate reference growth charts via regression quantiles. Inequality constraints are used to ensure both monotonicity and non-crossing of the estimated quantile curves and penalized splines are employed to model the nonlinear growth patterns with respect to age. A companion R package is presented and relevant code discussed to favour spreading and application of the proposed methods.
Muggeo, V., Sciandra, M., Tomasello, A., & Calvo, S. (2013). Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 20, 519-531.
Data di pubblicazione: | 2013 |
Titolo: | Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology. |
Autori: | |
Citazione: | Muggeo, V., Sciandra, M., Tomasello, A., & Calvo, S. (2013). Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 20, 519-531. |
Rivista: | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s10651-012-0232-1 |
Abstract: | We discuss a practical and effective framework to estimate reference growth charts via regression quantiles. Inequality constraints are used to ensure both monotonicity and non-crossing of the estimated quantile curves and penalized splines are employed to model the nonlinear growth patterns with respect to age. A companion R package is presented and relevant code discussed to favour spreading and application of the proposed methods. |
Settore Scientifico Disciplinare: | Settore BIO/07 - Ecologia Settore SECS-S/01 - Statistica |
Appare nelle tipologie: | 1.01 Articolo in rivista |
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