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Comparison of correlated proportions based on paired binary data from clustered samples

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Publication:730846
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DOI10.1016/j.jspi.2009.06.005zbMath1171.62014OpenAlexW1987346113MaRDI QIDQ730846

Ying Lu, Hua Jin

Publication date: 1 October 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.06.005

zbMATH Keywords

clustered datanon-inferiorityMcNemar's testcorrelated proportions


Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Nonparametric estimation (62G05) Point estimation (62F10)




Cites Work

  • Longitudinal data analysis using generalized linear models
  • Bioequivalence trials, intersection-union tests and equivalence confidence sets. With comments and a rejoinder by the authors
  • Logistic Regression for Dependent Binary Observations
  • Likelihood inference in a correlated probit regression model
  • The Use of a Correlated Binomial Model for the Analysis of Certain Toxicological Experiments
  • 394: The Analysis of Binary Responses from Toxicological Experiments Involving Reproduction and Teratogenicity
  • Establishing Equivalence of Two Treatments and Sample Size Requirements in Matched-Pairs Design
  • Analysis of Animal Carcinogenicity Experiments with Multiple Tumor Types
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