BMJ Open · 14 authors, 10 centres
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Planned analyses include latent-growth, superimposition by translation and rotation, and broken stick models for trajectories, machine learning for obesity prediction, and generalised linear models for associations, with directed acyclic graphs to identify confounders.
Planned analyses include latent-growth, superimposition by translation and rotation, and broken stick models for trajectories, machine learning for obesity prediction, and generalised linear models for associations, with directed acyclic graphs to identify confounders. The protocol reports ethics approval and a secure, de-identified data access environment; no completed results are presented.
