Sample size and power for McNemar's test with clustered data Journal Article


Author: Gonen, M.
Article Title: Sample size and power for McNemar's test with clustered data
Abstract: McNemar's test is used to compare the distribution of two paired binary random variables. When the data are clustered adjustment is needed to ensure that it is still a valid test. This article presents two approximations for calculating the power and sample size for the adjusted McNemar's test for clustered data, working with a particular adjustment. A simulation study is conducted to demonstrate the accuracy of these approximations. The method is also applied to the design of a study involving positron emission tomography in detecting metastatic colorectal cancer and sensitivity of sample size computations to the design parameters are explored in this context. Copyright © 2004 John Wiley & Sons, Ltd.
Keywords: controlled study; major clinical study; liver neoplasms; research design; positron emission tomography; diagnostic accuracy; sensitivity analysis; colorectal cancer; cluster analysis; colorectal neoplasms; liver metastasis; statistical analysis; data interpretation, statistical; data analysis; intermethod comparison; computer simulation; diagnostic test; mathematical computing; sample size; tomography, emission-computed; calculation; statistical parameters; process model; diagnostic testing; symmetry; humans; human; article; intraclass correlation; marginal homogeneity; paired binary data; mcnemar test
Journal Title: Statistics in Medicine
Volume: 23
Issue: 14
ISSN: 0277-6715
Publisher: John Wiley & Sons  
Date Published: 2004-07-30
Start Page: 2283
End Page: 2294
Language: English
DOI: 10.1002/sim.1768
PROVIDER: scopus
PUBMED: 15236431
DOI/URL:
Notes: Stat. Med. -- Cited By (since 1996):3 -- Export Date: 16 June 2014 -- CODEN: SMEDD -- Source: Scopus
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  1. Mithat Gonen
    1028 Gonen