Testing non-inferiority for clustered matched-pair binary data in diagnostic medicine

DOI10.1016/j.csda.2011.06.019zbMath1241.62171DBLPjournals/csda/YangSH12OpenAlexW1978159701WikidataQ59594021 ScholiaQ59594021MaRDI QIDQ433227

Zhao Yang, James W. Hardin, Xuezheng Sun

Publication date: 13 July 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.06.019

zbMATH Keywords

tablesnon-inferiorityintra-cluster correlation coefficients

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Monte Carlo methods (65C05) Medical applications (general) (92C50)

Related Items (4)

Test for conditional odds ratio in matching pairs inverse sampling design ⋮ A randomized test for the conditional odds ratio of matched pairs in an inverse binomial sampling design ⋮ Testing ratio of marginal probabilities in clustered matched-pair binary data ⋮ A non-inferiority test for diagnostic accuracy in the absence of the golden standard test based on the paired partial areas under receiver operating characteristic curves

Cites Work

• Unnamed Item
• A note on the tests for clustered matched-pair binary data
• Power and sample size requirements for non-inferiority in studies comparing two matched proportions where the events are correlated
• Statistical Methods in Ophthalmology: An Adjusted Chi-Square Approach
• The analysis of intraclass correlation in multiple samples
• Establishing Equivalence of Two Treatments and Sample Size Requirements in Matched-Pairs Design

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