Paper Details

Paper Title

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

Paper Journal Title

BMC Med Res Methodol

Paper Citation Count

Paper Publication Year

2022

Bio Mention

Mesh Descriptor

Author Name	Affiliation
Ahmed Elhakeem	MRC Integrative Epidemiology Unit at the University of Bristol
Ahmed Elhakeem	Bristol Medical School, University of Bristol
Diana L Cousminer	Children's Hospital of Philadelphia
Diana L Cousminer	University of Pennsylvania
Diana L Cousminer	Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia
Struan F A Grant	Children's Hospital of Philadelphia
Struan F A Grant	Children's Hospital of Philadelphia
Struan F A Grant	University of Pennsylvania Perelman School of Medicine
Struan F A Grant	Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia
Struan F A Grant	University of Pennsylvania
Struan F A Grant	Children's Hospital of Philadelphia
Struan F A Grant	University of Pennsylvania
Struan F A Grant	Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia
Struan F A Grant	University of Pennsylvania Perelman School of Medicine
Struan F A Grant	Children's Hospital of Philadelphia
Babette S Zemel	University of Pennsylvania Perelman School of Medicine
Babette S Zemel	Children's Hospital of Philadelphia
Debbie A Lawlor	MRC Integrative Epidemiology Unit at the University of Bristol
Debbie A Lawlor	Bristol Medical School, University of Bristol
Debbie A Lawlor	MRC Integrative Epidemiology Unit at the University of Bristol
Debbie A Lawlor	Bristol Medical School, University of Bristol

1 - 21

Paper Details

Column Actions

Datasets