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Comparing Reference Charts for Cross-Sectional and Longitudinal Data

By Ph. D, Mei-jie Zhang Ph. D and Anders JuulThomas H. Scheike, Thomas H. Scheike, Mei-jie Zhang and Anders Juul


Reference charts are valuable tools for clinicians in their daily work on pediatric clinics. Reference charts are often constructed by smoothing techniques, and in this paper we present a newly developed non-parametric test for comparing these charts. We illustrate the method by two examples. The #rst example compares crosssectional data on heightinchildren from two Danish studies from 1970 and 1990, respectively. A second example shows how longitudinal data on growth for twotypes of skeletal dysplasia may be compared. In the cross-sectional setting the test compares the average height over the range of ages for the two groups, and in the longitudinal setting the test compares, similarly, the average height given a particular history of development. 2 1 Introduction A reference chart is a graph showing the distribution of some measurementofinterest and age. This is usually done by displaying the median and various percentiles over the range of ages. When the measurements are approxi..

Year: 1997
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