Geodesic
Statistical analysis of diabetes mellitus
Discussiones Mathematicae. Probability and Statistics, Tome 29 (2009) no. 1, pp. 69-90
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This paper deals with an application of regression analysis to the regulation of the blood-sugar under diabetes mellitus. Section 2 gives a description of Gram-Schmidt orthogonalization, while Section 3 discusses the difference between Gauss-Markov estimation and Least Squares Estimation. Section 4 is devoted to the statistical analysis of the blood-sugar during the night. The response change of blood-sugar is explained by three variables: time, food and physical activity ("Bewegung"). At the beginning of the section it is shown that the proposed method was very successful in 2007.
Keywords: Gram-Schmidt orthogonalization, regression model, Gauss-Markov theorem, least squares, diabetes mellitus, glucosis, antidiabetica 
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Drygas, Hilmar. Statistical analysis of diabetes mellitus. Discussiones Mathematicae. Probability and Statistics, Tome 29 (2009) no. 1, pp. 69-90. http://geodesic.mathdoc.fr/item/DMPS_2009_29_1_a4/

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