Results 251 to 260 of about 53,615 (314)
A Simple Mantel–Haenszel Type Test for Noninferiority
Randomized clinical trials designed to establish noninferiority of an experimental therapy as compared to a standard (active-control) therapy as measured by binomial proportions are being widely us...
Kallappa M. Koti
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The Kruskal–Wallis tests are Cochran–Mantel–Haenszel mean score tests
The Kruskal–Wallis tests are appropriate tests for the completely randomised design, both for when the data are untied ranks, and, with adjustment, for when there are ties and mid-ranks are used. Both these tests are shown to be Cochran–Mantel–Haenszel mean score tests.
J. C. W. Rayner, Glen Livingston
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Multiple imputation score tests and an application to Cochran‐Mantel‐Haenszel statistics
The standard multiple imputation technique focuses on parameter estimation. In this study, we describe a method for conducting score tests following multiple imputation. As an important application, we use the Cochran‐Mantel‐Haenszel (CMH) test as a score test and compare the proposed multiple imputation method with a method based on the Wilson ...
Kaifeng Lu
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Conditional Independence, the Mantel-Haenszel Test, and the Yates Correction
Abstract The Yates correction is often recommended as a means of improving the chi-squared approximation to the Pearson goodness-of-fit statistic in 2 × 2 tables. This article demonstrates that it is also needed for some conditional independence models in multiway tables containing two dichotomies.
Graham Upton
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Propriety of the Mantel-Haenszel Variance for the Log Rank Test
A challenge by \textit{M. Brown} [ibid. 71, 65-74 (1984; Zbl 0586.62061)] of the Mantel-Haenszel variance for the log rank test is dismissed as due to the nonasymptotic situation considered by Brown. Where the censoring mechanism in a time-to-response study could be influenced by treatment, the permutational variance is inappropriate and the Mantel ...
Nathan Mantel
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The Power of the Mantel-Haenszel Test
Journal of the American Statistical Association, 1987Abstract The Mantel-Haenszel (MH) test (Mantel and Haenszel 1959) is a widely used method for analyzing sets of two-by-two tables that compare the outcome of two treatments in several strata (Bailar and Anthony 1977). The procedure tests the null hypothesis of no partial association between treatment and outcome in any of the strata, or tables, against
Janet Wittes, Sylvan Wallenstein
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Unconditional analogues of Cochran–Mantel–Haenszel tests
Australian & New Zealand Journal of Statistics, 2017SummaryThe Cochran–Mantel–Haenszel tests are a suite of tests that are usually defined as conditional tests, tests that assume all marginal totals are known before sighting the data. Here unconditional analogues of these tests are defined for the more usual situation when the marginal totals are not known before sighting the data.
Rayner, J. C. W., Best, D. J.
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Cochran–Mantel–Haenszel tests for the completely randomised design
Journal of the Korean Statistical Society, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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