Cuzick's test for trend

Version 2.0.0.0 (14.5 KB) by Giuseppe Cardillo
A Wilcoxon-Type Test for Trend
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2.5K Downloads
Updated 30 Mar 2018
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Perform the Cuzick's test on trend.
This function provides a Wilcoxon-type test for trend across a group of three or more independent random samples. Assumptions:
Data must be at least ordinal

Groups must be selected in a meaningful order i.e. ordered If you do not choose to enter your own group scores then scores are allocated uniformly (1 ... n) in order of selection of the n groups. The null hypothesis of no trend across the groups T will have mean E(T), variance var(T) and the null hypothesis is tested using the normalised test statistic z. A logistic distribution is assumed for errors. Please note that this test is more powerful than the application of the Wilcoxon rank-sum / Mann-Whitney test between more than two groups of data. Cuzick J. A Wilcoxon-Type Test for Trend. Statistics in Medicine 1985;4:87-89.

Created by Giuseppe Cardillo
giuseppe.cardillo-edta@poste.it

To cite this file, this would be an appropriate format: Cardillo G. (2008) Cuzick's test: A Wilcoxon-Type Test for Trend http://www.mathworks.com/matlabcentral/fileexchange/22059

Cite As

Giuseppe Cardillo (2024). Cuzick's test for trend (https://github.com/dnafinder/cuzick), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
2.0.0.0

inputparser; table implementation; github link
1.4.0.0

Changes in description
1.3.0.0

Statistics Toolbox is required
1.2.0.0

logical indexinf improved
1.1.0.0

Changes ih help section
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.