منابع مشابه
Tests for Two Correlated Proportions (McNemar Test)
To fix these ideas, consider the following fictitious data concerning the relationship between smoking and lung cancer. Suppose that a sample of N = 100 cases of identical twins in which only one twin has lung cancer is selected for further study. The twin with lung cancer is the case. The other twin serves as the control. Each pair of twins is surveyed to determine if they smoke tobacco. The r...
متن کاملComparison of ontology alignment algorithms across single matching task via the McNemar test
Ontology alignment is widely used to nd the correspondences between dierent ontologies in diverse elds. Aer discovering the alignment by methods, several performance scores are available to evaluate them. e scores require the produced alignment by amethod and the reference alignment containing the underlying actual correspondences of the given ontologies. e current trend in alignment eval...
متن کاملMcnemar Tests for Complex Survey Data
Feuer and Kessler (1989) generalized the McNemar test (1947) to a two sample situation where the hypothesis of interest is that the marginal changes in each of two independent sample's tables are equal. We show two refinements of this test for complex survey data, which require different estimates of variance. In particular, we present these tests along with applications from the Current Popula...
متن کاملStatistics USING THE SAS ® SYSTEM TO PERFORM MCNEMAR ' S TEST AND CALCULATE THE KAPPA STATISTIC FOR MATCHED PAIRS OF DATA
Dichotomous responses from matched pairs of data at different timepoints are often displayed in 2 by 2 tables, and McNemar's test is performed to test the hypothesis that the proportion of subjects with a certain response is equivalent at both timepoints. A kappa statistic can determine the level of agreement in these responses. The SAS procedure FREQ can perform a large sample approximation to...
متن کاملThe McNemar test for binary matched-pairs data: mid-p and asymptotic are better than exact conditional
BACKGROUND Statistical methods that use the mid-p approach are useful tools to analyze categorical data, particularly for small and moderate sample sizes. Mid-p tests strike a balance between overly conservative exact methods and asymptotic methods that frequently violate the nominal level. Here, we examine a mid-p version of the McNemar exact conditional test for the analysis of paired binomia...
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ژورنال
عنوان ژورنال: Journal of Biometrics & Biostatistics
سال: 2013
ISSN: 2155-6180
DOI: 10.4172/2155-6180.s7-020