S6 Fig - Latent classes of anthropometric growth in early childhood using uni- and multivariate approaches in a South African birth cohort

<p>Information used to choose the appropriate value for k, the number of latent classes within standardised Height. A) Fit statistics for k = (1:5). Profiles of LCMM Classes identified within standardised Height using a randomly selected 50% of subjects, repeated 10 times for B) k = 3, C) 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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S6 Fig - Latent classes of anthropometric growth in early childhood using uni- and multivariate approaches in a South African birth cohort

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