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.
authors.affiliation: Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, U.S.A. gonenm@mskcc.org
authors.forename: Mithat
authors.initials: M
authors.lastname: Gönen
mesh_terms: D016000:Cluster Analysis; D015179:Colorectal Neoplasms / Q000473:pathology; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D008113:Liver Neoplasms / Q000175:diagnosis / Q000556:secondary; D012107:Research Design; D018401:Sample Size; D014055:Tomography, Emission-Computed / Q000379:methods