title: Free knot splines for biochemical data.
abstract: The use of spline functions in the analysis of empirical two-dimensional (2-D) data (y(i), x(i)) 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.
authors.affiliation: Institut Universitaire de Recherche Clinique, 641 avenue Gaston Giraud, 34 093 Montpellier, France.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Molinari
authors.forename: Marion
authors.initials: M
authors.lastname: Morena
authors.forename: Jean-Paul
authors.initials: JP
authors.lastname: Cristol
authors.forename: Jean-Pierre
authors.initials: JP
authors.lastname: Daurè
mesh_terms: D016014:Linear Models; D008077:Lipoproteins, LDL / Q000378:metabolism*; D008954:Models, Biological; D010084:Oxidation-Reduction; D012984:Software; D013997:Time Factors
chemical_list: D008077:Lipoproteins, LDL