Modified McNemar Test

I. C. Oyeka

doi:10.6000/1929-6029.2012.01.01.07

Modified McNemar Test

Authors

I. C. Oyeka Department of Applied Statistics, Nnamdi Azikiwe University, Awka Nigeria

DOI:

https://doi.org/10.6000/1929-6029.2012.01.01.07

Keywords:

Case-control, treatment, subjects, population, procedure

Abstract

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 estimates 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

Author Biography

I. C. Oyeka, Department of Applied Statistics, Nnamdi Azikiwe University, Awka Nigeria

Department of Industrial Mathematics and Applied Statistics

References

Oyeka CA. An Introduction to Applied Statistical Methods. Norbern Avocation Publishing Company Enugu. Nigeria 2010.

Oyeka CA. An Introduction to Applied Statistical Methods (Third edition). Nobern Avocation Publishing Company Enugu. Nigeria 1996.

McNemar Q. Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages. Psychometrika 1947; 12: 153-57. http://dx.doi.org/10.1007/BF02295996 DOI: https://doi.org/10.1007/BF02295996

Oyeka CA, Utazi CE, Nwosu CR, et al. A method of analyzing paired data intrinsically adjusted for ties. Global J Math 2009; 1(1): 1-6.

Freund JE. Mathematical Statistics (5th ed.). Prentice Hall Inc, New York 1992.

Gibbons JD. Nonparametric Statistical Inferences. Mc Graw Hill New York 1971.

Downloads

Published

2012-10-02

How to Cite

Oyeka, I. C. (2012). Modified McNemar Test. International Journal of Statistics in Medical Research, 1(1), 73–78. https://doi.org/10.6000/1929-6029.2012.01.01.07

Download Citation

Issue

Vol. 1 No. 1 (2012)

Section

General Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Policy for Journals/Articles with Open Access

Authors who publish with this journal agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work

Policy for Journals / Manuscript with Paid Access

Authors who publish with this journal agree to the following terms:

Publisher retain copyright .
Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work .