Results 171 to 180 of about 41,323 (225)
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The Power of the Mantel-Haenszel Test

Journal of the American Statistical Association, 1987
Abstract 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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Heterogeneity in Mantel-Haenszel-type models

Biometrika, 1993
SUMMARY The Mantel-Haenszel problem involves inferences about a common odds ratio in a set of 2 x 2 tables. Although it is a fairly standard practice to test whether the odds ratios are indeed constant, there is remarkably little methodology available for proceeding when there is evidence of some heterogeneity.
Liu, Qing, Pierce, Donald A.
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Mantel‐haenszel statistics and direct standardization

Statistics in Medicine, 1982
AbstractThis paper demonstrates that the Mantel‐Haenszel chi‐square statistic may be employed to test the equality of two directly standardized rates. For certain epidemiological applications, this eliminates the need for special computer programs to contrast two directly standardized rates. Furthermore, since the weights are determined entirely by the
R F, Woolson, J A, Bean
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Unconditional analogues of Cochran–Mantel–Haenszel tests

Australian & New Zealand Journal of Statistics, 2017
SummaryThe 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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The Generalized Mantel–Haenszel Statistic

The American Statistician, 1986
Abstract This article reviews the development of the generalized Mantel–Haenszel statistic and some of its applications. In addition, it is demonstrated that many of the better known statistics for matched sample designs are special cases of the generalized Mantel–Haenszel statistic.
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