Results 171 to 180 of about 35,467 (223)
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Journal of Educational Statistics, 1990
The Mantel-Haenszel (MH) chi-square test has been shown to have desirable statistical properties in detecting biased items. However, small sample sizes are still of concern, especially when large differences in ability exist between the focal and reference groups.
Gregory Camilli, Jeffrey K Smith
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The Mantel-Haenszel (MH) chi-square test has been shown to have desirable statistical properties in detecting biased items. However, small sample sizes are still of concern, especially when large differences in ability exist between the focal and reference groups.
Gregory Camilli, Jeffrey K Smith
exaly +2 more sources
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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The Power of the Mantel-Haenszel Test for Grouped Failure Time Data
Biometrics, 1993The Mantel-Haenszel test for grouped failure time data (MHF test) compares the distribution of failure times in two cohorts followed for an interval of time when the data are collected in discrete subintervals. This paper derives approximations to the power of the Mantel-Haenszel test for arbitrary failure time distributions in the presence of ...
Wallenstein, Sylvan, Wittes, Janet
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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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Extensions to the Cochran–Mantel–Haenszel Mean Scores and Correlation Tests
Journal of Statistical Theory and Practice, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rayner, J. C. W., Best, D. J.
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A generalisation of the Mantel-Haenszel test to bivariate failure time data
Biometrika, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hsu, Li, Prentice, Ross L.
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