Multiple McNemar Tests
نویسندگان
چکیده
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 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 کاملTests of Multiple Independence
tion in whole or in part is permitted for any purpose of the United states Government.
متن کاملBootstrapping Multiple-Choice Tests
It is very likely that, at least once in their lifetime, everyone has answered a multiplechoice test. Multiple-choice tests are considered an effective technique for knowledge assessment, requiring a short response time and with the possibility of covering a broad set of topics. Nevertheless, when it comes to their creation, it can be a time-consuming and labour-intensive task. Here, the genera...
متن کاملMultivariate and Multiple Permutation Tests
In this article, we consider the use of permutation tests for comparing multivariate parameters from two populations. First, the underlying properties of permutation tests when comparing parameter vectors from two distributions P and Q are developed. Although an exact level α test can be constructed by a permutation test when the fundamental assumption of identical underlying distributions hold...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biometrics
سال: 2010
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2010.01408.x