S21 Fig - Latent classes of anthropometric growth in early childhood using uni- and multivariate approaches in a South African birth cohort

<p>Trajectories of zHeight and zWeight profiles identified given four latent classes when considering a linear or cubic (with three equally spaced knots) spline link function specifying the relationship between the longitudinal outcomes and latent process. Here the effect of link is shown on k...

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Bibliographic Details
Main Author:	Noëlle van Biljon (20933634) (author)
Other Authors:	Marilyn T. Lake (8459460) (author), Liz Goddard (17804412) (author), Maresa Botha (20933637) (author), Heather J. Zar (7439060) (author), Francesca Little (59851) (author)
Published:	2025
Subjects:	Medicine Microbiology Cell Biology Genetics Biotechnology Evolutionary Biology Developmental Biology Cancer Infectious Diseases Virology Computational Biology identify growth profiles abnormal growth features rapid weight gain joint standardized height various growth classes standardized weight measurements xlink "> lcmm xlink "> standardized weight standardized height height measurements anthropometric growth vulnerable periods univariate responses strong association similarities across predictors may potential interventions multivariate response multivariate approaches much greater latent classes informing interventions four classes five years expected proportions entire cohort distinct trajectories cases ), better understanding better understand
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S21 Fig - Latent classes of anthropometric growth in early childhood using uni- and multivariate approaches in a South African birth cohort

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