Estimating Growth in Height from Limited Longitudinal Growth Data Using Full-Curves Training Dataset: A Comparison of Two Procedures of Curve Optimization-Functional Principal Component Analysis and SITAR

• Hoofdauteurs: Miroslav Králík (Auteur), Ondřej Klíma (Auteur), Martin Čuta (Auteur), Robert M. Malina (Auteur), Sławomir Kozieł (Auteur), Lenka Polcerová (Auteur), Anna Škultétyová (Auteur), Michal Španěl (Auteur), Lubomír Kukla (Auteur), Pavel Zemčík (Auteur)
• Formaat: Boek
• Gepubliceerd in: MDPI AG, 2021-10-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

A variety of models are available for the estimation of parameters of the human growth curve. Several have been widely and successfully used with longitudinal data that are reasonably complete. On the other hand, the modeling of data for a limited number of observation points is problematic and requ...