Tests for 2 x K contingency tables with clustered ordered categorical data.

Published

Journal Article

Ordered categorical data summarized in a 2 x K table usually consist of two-sample multinomial or K-sample binomial observations. In analysing these data, we usually assign scores to the K columns and perform a testing for the equality of two multinomial distributions in the former case and no trend among K binomial proportions in the latter case. Among the most popular score tests are the Wilcoxon rank sum test and the Armitage's linear trend test. In this paper we extend the score tests to be used for clustered data under diverse study designs. Our methods do not require correct specification of the dependence structure within clusters. The proposed tests are based on the asymptotic normality for large number of clusters and are a generalization of the standard tests used for independent data. Simulation studies are conducted to investigate the finite-sample performance of the new methods. The proposed methods are applied to real-life data.

Full Text

Duke Authors

Cited Authors

  • Jung, SH; Kang, SH

Published Date

  • March 15, 2001

Published In

Volume / Issue

  • 20 / 5

Start / End Page

  • 785 - 794

PubMed ID

  • 11241576

Pubmed Central ID

  • 11241576

International Standard Serial Number (ISSN)

  • 0277-6715

Digital Object Identifier (DOI)

  • 10.1002/sim.705

Language

  • eng

Conference Location

  • England