4.3 Article

Using Bayesian p-values in a 2 x 2 table of matched pairs with incompletely classified data

出版社

WILEY-BLACKWELL PUBLISHING, INC
DOI: 10.1111/j.1467-9876.2008.00645.x

关键词

Dirichlet prior; Exact McNemar test; Ignorable missing data

资金

  1. US National Institutes of Health [AI 60373, MH 054693, CA 74015, CA 069222]
  2. NATIONAL CANCER INSTITUTE [R29CA069222, R01CA074015, R01CA069222] Funding Source: NIH RePORTER
  3. NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [R01AI060373] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH054693] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Altham proposed Bayesian p-values for the analysis of a 2x2 contingency table that is formed from matched pairs. Using the same Bayesian perspective, we develop an extension of Altham's Bayesian p-values to a 2x2 table from matched pairs with missing data that are missing at random. The approach is applied to a rater agreement study, in which two surgeon-reviewers rated whether or not there was a communication breakdown in malpractice cases. We also use a simulation study to explore the power and type I error rate of the Bayesian p-values.

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