Skip to main content

Multiple McNemar Tests

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

Summary. 

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.

Keywords: Bonferroni–Holm; Bootstrap; Discreteness; Exact tests; Multiple comparisons; Postmarket surveillance; Predictive model

Document Type: Research Article

DOI: https://doi.org/10.1111/j.1541-0420.2010.01408.x

Affiliations: 1: Biostatistics and Bioinformatics Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland 20892, U.S.A. 2: US Food and Drug Administration, Epidemiology Branch, Center for Devices and Radiological Health, HFZ-541, 1350 Piccard Drive, Rockville, Maryland 20850, U.S.A.

Publication date: 2010-12-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more