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..
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