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 [10.1007/s10651-012-0232-1].
Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology.
MUGGEO, Vito Michele Rosario;SCIANDRA, Mariangela;TOMASELLO, Agostino;CALVO, Sebastiano
2013-01-01
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.
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