Split-plot designs: a useful tool for the statistical analysis of real medical data and repeated measurement problems
Koukouvinos, C., Lygkoni, E. and Mylona, K. (2009) Split-plot designs: a useful tool for the statistical analysis of real medical data and repeated measurement problems. Bulletin of Statistics and Economics, 3, (S09), Spring Issue, 61-66.
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In this article, a split-plot design is applied for the collection of real medical data concerning biochemical and vital measurements of 283 patients in Intensive Care Unit, on a repeated measurement problem. Practical limitations and issues related to cost reveals frequently the practical usefulness of split-plot designs. When an experiment is planned, factors that are difficult or time consuming to manipulate appear and make complete randomization impractical. A split-plot structure is used when it is impractical to change the levels of some of the experimental factors. Our dataset, selected with the aid of a split-plot design, consists of 2256 observations 17 factors and 8 repetitions. A statistical analysis on the resulting data is performed and useful biological justification of our results is provided.
|Subjects:||H Social Sciences > HA Statistics
Q Science > QA Mathematics
R Medicine > RA Public aspects of medicine
|Divisions:||Faculty of Social and Human Sciences > Mathematics > Statistics
|Date Deposited:||04 Apr 2012 14:19|
|Last Modified:||04 Apr 2012 14:19|
|Contributors:||Koukouvinos, C. (Author)
Lygkoni, E. (Author)
Mylona, K. (Author)
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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