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Free knot splines for biochemical data

Authors :
Nicolas Molinari
Jean-Paul Cristol
Marion Morena
Jean-Pierre Daurès
Source :
Computer Methods and Programs in Biomedicine. 67:163-167
Publication Year :
2002
Publisher :
Elsevier BV, 2002.

Abstract

The use of spline functions in the analysis of empirical two-dimensional (2-D) data (yi, xi) is described. Spline functions are excellent empirical functions, which can be used with advantage instead of other ones, such as polynomials or exponentials. The knot location seen as variable value corresponds to classical parameter used to describe oxidation curves. An application on characterization of LDL oxidability shows free knot splines in a regression context.

Details

ISSN :
01692607
Volume :
67
Database :
OpenAIRE
Journal :
Computer Methods and Programs in Biomedicine
Accession number :
edsair.doi.dedup.....ba7ccd895e92242146b309bde6a58fa9
Full Text :
https://doi.org/10.1016/s0169-2607(01)00123-7