McNemar test

Mc·Ne·mar test

(mak'ne-mahr),
a form of chi-square test for matched paired data.

Mc·Ne·mar test

(mik'nĕ-mahr test)
A form of chi-square (Χ2) test for matched paired data.
References in periodicals archive ?
McNemar test is used as the 2 x 2 contingency table with dichotomous trait (Yes, No) was present, to determine whether the marginal frequencies of the column and row are equal.
To compare the sensitivity of diagnostic tests McNemar test was applied to test the sensitivity of ELISA and PPD, and ELISA and ZN and it was found that the sensitivity was not different between these tests.
McNemar test and paired t test were applied to identify statistical significance.
The original Harris Matrix phasing was then compared to the retrospective Harris Matrix phasing using the McNemar Test (McNemar 1947; Sheskin 2000; Somes 1983) to test marginal homogeneity in two phases and the Stuart-Maxwell Test to quantify the probability of their similarity in three or more phases (Everitt 1977; Maxwell 1970; Stuart 1955).
of articles evaluated 200 300 Articles using no statistics, % 30 6 Descriptive methods only, % 12 5 Articles using statistical tests, % 58 90 1 Student t test 19 59 2 Regression/ANOVA 14 42 3 [chi square] test 15 9 4 Mann-Whitney test (rank sum) 9 22 5 Fisher exact test 14 6 Survival analysis 13 14 6 Kaplan-Meier/log-rank 13 13 7 Cox regression 9 8 Multiple comparison adjustment 1 29 8 Tukey 1 11 9 Bonferroni 1 8 10 Newman-Keuls 0 4 11 [kappa] Statistic 4 1 12 ROC analysis 5 2 13 Logistic regression 4 1 14 Spearman rank correlation 3 5 15 Kruskal-Wallis test 4 6 16 Pearson correlation statistic 4 3 17 Normality test 2 2 18 McNemar test 1 0 Other tests 4 5 Avg tests per article (g) 1.
After PSM, the baseline characteristics were compared with a paired t test for continuous variables and the McNemar test for categorical variables.
Paired samples t-test was used for comparing numerical variables (Pre-and post-operative IOP) and McNemar test was used for comparing categorical variables (Pre-and post-operative PVR).
Application of the Mcnemar Test to Non-Independent Matched Pair Data.
In addition, the McNemar test was used to determine whether the rate of identification of fallers and nonfallers (as per the most frequently cited cutpoints) were the same for the two tests in each pairwise comparison (8UG and TUG, 8UG and ABC, and TUG and ABC).