Senn, S. (2007) Drawbacks to noninteger scoring for ordered categorical data. Biometrics, 63(1), pp. 296-299. (doi: 10.1111/j.1541-0420.2007.00739_1.x)
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Publisher's URL: http://dx.doi.org/10.1111/j.1541-0420.2007.00739_1.x
Abstract
A proposal to improve trend tests by using noninteger scores is examined. It is concluded that despite improved power such tests are usually inferior to the simpler integer scored approach.
Item Type: | Articles |
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Keywords: | Discrete data; Fisher’s exact test; Power; Randomization test; Trend test |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Senn, Professor Stephen |
Authors: | Senn, S. |
Subjects: | Q Science > QA Mathematics |
College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
Journal Name: | Biometrics |
Publisher: | Blackwell |
ISSN: | 1541-1420 |
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