Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies (2022)

First Author: Elhakeem A
Attributed to:  Reproductive and cardio-metabolic health funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1186/s12874-022-01542-8

PubMed Identifier: 35291947

Publication URI: http://europepmc.org/abstract/MED/35291947

Type: Journal Article/Review

Parent Publication: BMC Medical Research Methodology

Issue: 1

ISSN: 1471-2288