Drawbacks to noninteger scoring for ordered categorical data

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)

Full text not currently available from Enlighten.

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
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

University Staff: Request a correction | Enlighten Editors: Update this record