Journal
BIOMETRICS
Volume 66, Issue 4, Pages 1185-1191Publisher
WILEY-BLACKWELL PUBLISHING, INC
DOI: 10.1111/j.1541-0420.2010.01408.x
Keywords
Bonferroni-Holm; Bootstrap; Discreteness; Exact tests; Multiple comparisons; Postmarket surveillance; Predictive model
Funding
- NIH, NICHD
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P>Methods for performing multiple tests of paired proportions are described. A broadly applicable method using McNemar's exact test and the exact distributions of all test statistics is developed; the method controls the familywise error rate in the strong sense under minimal assumptions. A closed form (not simulation-based) algorithm for carrying out the method is provided. A bootstrap alternative is developed to account for correlation structures. Operating characteristics of these and other methods are evaluated via a simulation study. Applications to multiple comparisons of predictive models for disease classification and to postmarket surveillance of adverse events are given.
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