A Multiphasic Approach for Describing Serial Height Data of Fels Children: A Hexaphasic-Logistic-Additive Growth Model

摘要

In this paper, we reported the results obtained from fitting a new growth model to serial height data of 80 Fels children. The model assumed that human height growth curves are due to the combined effects of six macroscopic logistic growth processes, each reaching the same asymptotic height value. It was named the Walker and Walker- Hexaphasic-Logistic-Additive (WWHLA) growth Model. An advantage to using this model is that it Allowed us to easily fit entire growth curves with 14 Biologically interpretable parameters.