Prediction models for short children born small for gestational age (SGA) covering the total growth phase. Analyses based on data from KIGS (Pfizer International Growth Database)
<p>Abstract</p> <p>Background</p> <p>Mathematical models can be developed to predict growth in short children treated with growth hormone (GH). These models can serve to optimize and individualize treatment in terms of height outcomes and costs. The aims of this study w...
Main Authors: | Lindberg Anders, Ranke Michael B |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2011-06-01
|
Series: | BMC Medical Informatics and Decision Making |
Online Access: | http://www.biomedcentral.com/1472-6947/11/38 |
Similar Items
-
Et kig på socialsemiotikken fra Dansk Sprognævn
by: Thomas Hestbæk Andersen
Published: (2020-07-01) -
Et kig på socialsemiotikken fra Dansk Sprognævn
by: Thomas Hestbæk Andersen
Published: (2020-07-01) -
Kig op! Undervisning uden et blåt skær
by: Kim Jesper Herrmann
Published: (2019-04-01) -
Algumas aplicações do kig no estudo da geometria analítica
by: Santos, Fabrício Veras dos
Published: (2015) -
Investigation of the genetic influences on the small for gestational age (SGA) phenotype
by: Johnston, Linda Brown
Published: (2002)