A Bootstrap Approach for Testing Marginal Independence Between Two Categorical Variables When Subjects Have Repeated Responses

DOI10.1080/03610918.2013.777456zbMath1328.62361OpenAlexW1995703927MaRDI QIDQ5252833

Rhonda J. Rosychuk, Christina Alloway, Amanda S. Newton

Publication date: 3 June 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.777456

zbMATH Keywords

nonparametric bootstrapcontingency tablemarginal independenceemergency department presentations

Mathematics Subject Classification ID

Contingency tables (62H17)

Cites Work

• Some simple methods for generating correlated categorical variates
• Sharp bounds for the maximum of the chi-square index in a class of contingency tables with given marginals
• Testing for Marginal Independence between Two Categorical Variables with Multiple Responses
• A Simple Method for Constructing Multidimensional Distributions of Correlated Categorical Data
• Testing for Association in Contingency Tables with Multiple Column Responses

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