Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies (2021)

First Author: Elhakeem A
Attributed to:  Statistical Methods for Improving Causal Analyses funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2021.05.26.21257519

Publication URI: http://dx.doi.org/10.1101/2021.05.26.21257519

Type: Preprint