| dc.creator | Corvalán Aguilar, Camila | |
| dc.date.accessioned | 2014-12-15T18:40:35Z | |
| dc.date.accessioned | 2019-04-25T23:43:47Z | |
| dc.date.available | 2014-12-15T18:40:35Z | |
| dc.date.available | 2019-04-25T23:43:47Z | |
| dc.date.created | 2014-12-15T18:40:35Z | |
| dc.date.issued | 2014 | |
| dc.identifier | J. R. Statist. Soc. A (2014) 177, Part 2, pp. 371–396 | |
| dc.identifier | http://www.repositorio.uchile.cl/handle/2250/124123 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/2428463 | |
| dc.description.abstract | There is broad recognition that early life growth trajectories can contribute to the
study of the onset and development of several health outcomes.We review the random-effects
specifications of two models that have been purposely developed to describe anthropometric
data and a shape invariant random-effects model recently proposed in the statistical literature.
They are compared in terms of their ability to extract salient and biologically meaningful features
of growth in infancy and also to represent the data validly.We discuss advantages and limitations
in choosing and interpreting each of the models by using longitudinal weight data taken from 0
to 4 years from three contemporary birth cohorts. | |
| dc.language | en | |
| dc.publisher | Royal Statistical Society | |
| dc.relation | A; | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | |
| dc.subject | Growth curve | |
| dc.title | On modelling early life weight trajectories | |
| dc.type | Artículos de revistas | |
