McNemar's test
McNemar's test is a statistical test used on paired nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal (that is, whether there is "marginal homogeneity"). It is named after Quinn McNemar, who introduced it in 1947. An application of the test in genetics is the transmission disequilibrium test for detecting linkage disequilibrium.
McNemar's test - Wikipedia Jump to content From Wikipedia, the free encyclopedia Statistical test used on paired nominal data This article may be too technical for most readers to understand . Please help improve it to make it understandable to non-experts , without removing the technical details. ( November 2012 ) ( Learn how and when to remove this message ) McNemar's test is a statistical test used on paired nominal data . It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal
Explore this link on the map →related reading
- Kolmogorov–Smirnov test - Wikipediaen.wikipedia.org
- Berkson's paradox - Wikipediaen.wikipedia.org
- Hypothesis Testingtheiilab.com
- Paired Samples t-test: Definition, Formula, and Examplestatology.org
- The Chi-square test of independence - PMCncbi.nlm.nih.gov
- Likelihood-ratio test - Wikipediaen.wikipedia.org
- fasano.franceschini.test: An Implementation of a Multivariate KS Test in Rjournal.r-project.org
- Kuiper's test - Wikipediaen.wikipedia.org
- Common statistical tests are linear models (or: how to teach stats)lindeloev.github.io
- Multiple Hypothesis Testing | Stitch Fix Technology – Multithreadedmultithreaded.stitchfix.com
- DISCO analysis: A nonparametric extension of analysis of variancearxiv.org
- Forumforum.minerva.edu