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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Description/Abstract
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.
| Item Type: | Article |
|---|---|
| ISSNs: | 0973-7022 |
| Related URLs: | |
| 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 |
| Item ID: | 336716 |
| Date Deposited: | 04 Apr 2012 14:19 |
| Last Modified: | 04 Apr 2012 14:19 |
| Contributors: | Koukouvinos, C. (Author) Lygkoni, E. (Author) Mylona, K. (Author) |
| Date: | 2009 |
| Status: | Published |
| URI: | http://eprints.soton.ac.uk/id/eprint/336716 |
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