2018-01-18 - Brad Barney - Growing Curve Methodology with Application to Neonatal Growth Curves
As part of postnatal care, newborns are routinely monitored to assess the stability and adequacy of their growth. Interest lies in learning about the typical postnatal growth of especially preterm infants. We briefly consider some general methodological strategies currently employed to parsimoniously construct growth curves for use in medical practice. We present original results using existing methodology known as generalized additive models for location, scale and shape (GAMLSS). We also expand existing methodology on the Bayesian analogue of GAMLSS, known as structured additive distributional regression. In particular, we hierarchically model weight and length jointly, from which we are able to induce a time-varying distribution for Body Mass Index.