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

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

Volume: 22

Parent Publication: BMC medical research methodology

Issue: 1

ISSN: 1471-2288