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.
@article{bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1108,
author = {Hilmar Drygas},
title = {Statistical analysis of diabetes mellitus},
journal = {Discussiones Mathematicae Probability and Statistics},
volume = {29},
year = {2009},
pages = {69-90},
zbl = {1208.62170},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1108}
}
Hilmar Drygas. Statistical analysis of diabetes mellitus. Discussiones Mathematicae Probability and Statistics, Tome 29 (2009) pp. 69-90. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1108/
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