Open Access
2009 Multiple testing in ordinal data models
Chuanwen Chen, Arthur Cohen, Harold B. Sackrowitz
Electron. J. Statist. 3: 912-931 (2009). DOI: 10.1214/09-EJS392

Abstract

Consider an R×C contingency table in which the categories are ordered. Multiple testing of the hypotheses that each local odds ratio is one is carried out. The methodology to perform the multiple tests is an extension of the MRDSS method of Chen, Cohen, and Sackrowitz (2009). The MRDSS method extends the MRD method of Cohen, Sackrowitz, and Xu (2009) by adding a screen stage and a sign stage to MRD. The MRDSS method as well as the extension here is admissible and consistent. Both Fisher-type statistics and Chi-square statistics are used. Examples and a simulation study are included.

Citation

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Chuanwen Chen. Arthur Cohen. Harold B. Sackrowitz. "Multiple testing in ordinal data models." Electron. J. Statist. 3 912 - 931, 2009. https://doi.org/10.1214/09-EJS392

Information

Published: 2009
First available in Project Euclid: 17 September 2009

zbMATH: 1326.62130
MathSciNet: MR2540846
Digital Object Identifier: 10.1214/09-EJS392

Subjects:
Primary: 62H17
Secondary: 62C15 , 62F03

Keywords: Admissibility , Chi-square test , consistency , Contingency table , Fisher’s exact test , full multinomial model , independent Poisson model , ordered categories

Rights: Copyright © 2009 The Institute of Mathematical Statistics and the Bernoulli Society

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