Modified McNemar TestOyeka ICA*
Department of Applied Statistics, Nnamdi Azikiwe University, Awka, Nigeria
- *Corresponding Author:
- Oyeka ICA, PhD
Professor of Statistics
Department of Applied Statistics
Nnamdi Azikiwe University, Awka, Nigeria
E-mail: [email protected]
Received date: June 25, 2012; Accepted date: August 23, 2012; Published date: August 28, 2012
Citation: Oyeka ICA (2012) Modified McNemar Test. J Biomet Biostat S7-020. doi:10.4172/2155-6180.S7-020
Copyright: © 2012 Oyeka ICA. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This paper proposes and presents a test statistic that intrinsically and structurally adjusts the usual McNemar test statistic for the possible presence of tied responses between the paired populations of cases and control subjects that may be measurements on any scale. The method also enables the researcher readily estimate not only the chances that among a random selected pair of case and control subjects the case responds positive and the control responds negative, or the case responds negative and the control responds positive, but also even when both case and control subjects have similar responses, it enables one easily estimate the probability that both respond positive or both respond negative. The proposed method, which is shown to be relatively more efficient and hence likely to be more powerful than the usual McNemar test statistic is illustrated with some data.