Statistical methods for constructing gestational age-related charts for fetal size and pregnancy dating using longitudinal data

This article suggests how this method can be extended to longitudinal data using fractional polynomials in linear mixed effect regression. The presented approach includes maximum likelihood estimation for fitting first- and second-order fractional polynomial models, and multimodel inference using Akaike's information criterion and related tools as a suitable strategy for model selection. Finally, an example of the suggested approach is presented.
Source: Biocybernetics and Biomedical Engineering - Category: Biomedical Engineering Source Type: research