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 |