Novel metrics for growth model selection

BACKGROUND: Literature surrounding the statistical modeling of childhood growth data involves a diverse set of potential models from which investigators can choose. However, the lack of a comprehensive framework for comparing non-nested models leads to difficulty in assessing model performance. This...

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Detalles Bibliográficos
Autores principales: Grigsby, Matthew R., Di, Junrui, Leroux, Andrew, Zipunnikov, Vadim, Xiao, Luo, Crainiceanu, Ciprian, Checkley, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824542/
https://www.ncbi.nlm.nih.gov/pubmed/29483933
http://dx.doi.org/10.1186/s12982-018-0072-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824542/
https://www.ncbi.nlm.nih.gov/pubmed/29483933
http://dx.doi.org/10.1186/s12982-018-0072-z

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