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Split-plot designs: a useful tool for the statistical analysis of real medical data and repeated measurement problems

Record type: Article

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.

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Citation

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, pp. 61-66.

More information

Published date: 2009
Organisations: Statistics

Identifiers

Local EPrints ID: 336716
URI: http://eprints.soton.ac.uk/id/eprint/336716
ISSN: 0973-7022
PURE UUID: d5fe37ce-8298-49b9-a01f-8aba92f6ca73

Catalogue record

Date deposited: 04 Apr 2012 14:19
Last modified: 18 Jul 2017 06:06

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Contributors

Author: C. Koukouvinos
Author: E. Lygkoni
Author: K. Mylona

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