title: Modeling height for children born small for gestational age treated with growth hormone.
abstract: The analysis of growth curves of children can be done on either the original scale or in standard deviation scores. The first approach is found in many statistical textbooks, while the second approach is common in endocrinology, for instance in the evaluation of the effect of growth hormone in children that are born small for gestational age that remain small later in childhood. We illustrate here that the second approach may involve more complex modeling and hence a worse model fit.
authors: Department of Biostatistics Erasmus MC, Rotterdam, The Netherlands s.willemsen@erasmusmc.nl.
authors: Sten P
authors: SP
authors: Willemsen
authors: Department of Biostatistics Erasmus MC, Rotterdam, The Netherlands.
authors: Maria
authors: M
authors: de Ridder
authors: Department of Biostatistics Erasmus MC, Rotterdam, The Netherlands.
authors: Paul H C
authors: PH
authors: Eilers
authors: Department of Pediatrics, Division of Endocrinology Erasmus MC, Rotterdam, The Netherlands.
authors: Anita
authors: A
authors: Hokken-Koelega
authors: Department of Biostatistics Erasmus MC, Rotterdam, The Netherlands I-Biostat Catholic University of Leuven, Leuven, Belgium.
authors: Emmanuel
authors: E
authors: Lesaffre
mesh_terms: D001499:Bayes Theorem; D001827:Body Height / Q000187:drug effects; D002648:Child; D005260:Female; D005865:Gestational Age; D013006:Growth Hormone / Q000494:pharmacology / Q000627:therapeutic use*; D006801:Humans; D007231:Infant, Newborn; D007236:Infant, Small for Gestational Age / Q000254:growth & development*; D008137:Longitudinal Studies; D008297:Male
chemical_list: D013006:Growth Hormone
keywords: Bayesian models; Longitudinal studies; growth hormones; height; human growth; standard deviation scores