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Ordinal Cochran-Mantel-Haenszel Testing and Nonparametric Analysis of Variance: Competing Methodologies [PDF]
Stats, 2022 The Cochran-Mantel-Haenszel (CMH) and nonparametric analysis of variance (NP ANOVA) methodologies are both sets of tests for categorical response data.
J. C. W. Rayner, G. C. Livingston
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Drivers’ hazard perception analysis based on logistic regression and Cochran–Mantel–Haenszel test [PDF]
Advances in Mechanical Engineering, 2016 Current researches of hazard perception based on the conventional self-report, video scene, driving simulator experiments, and road studies all have their shortcomings.
Haoran Li +4 more
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The Sib Transmission/Disequilibrium Test is a Mantel-Haenszel Test [PDF]
The American Journal of Human Genetics, 1998 To the Editor:Spielman and Ewens's (1998xA sibship test for linkage in the presence of association: the sib transmission/disequilibrium test. Spielman, RS and Ewens, WJ. Am J Hum Genet. 1998; 62: 450–458Abstract | Full Text | Full Text PDF | PubMed | Scopus (508)See all References1998) proposed extension of the transmission/disequilibrium test (TDT ...
Laird, Nan M. +2 more
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Recent Extensions to the Cochran–Mantel–Haenszel Tests [PDF]
Stats, 2018 The Cochran–Mantel–Haenszel (CMH) methodology is a suite of tests applicable to particular tables of count data. The inference is conditional on the treatment and outcome totals on each stratum being known before sighting the data. The CMH tests are important for analysing randomised blocks data when the responses are categorical rather than continuous.
J. C. W. Rayner, Paul Rippon
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A Power Formula for the Mantel-Haenszel Test for Differential Item Functioning. [PDF]
Appl Psychol Meas, 2015 The asymptotic power of the Mantel–Haenszel (MH) test for the differential item function (DIF) is derived. The formula describes the behavior of the power when the number of items is large, so that the measured latent trait can be considered as the matching variable in the MH test.
Li Z.
europepmc +4 more sources
Generalized Mantel–Haenszel Estimators for Simultaneous Differential Item Functioning Tests
Educational and Psychological Measurement, 2022 The Mantel–Haenszel estimator is one of the most popular techniques for measuring differential item functioning (DIF). A generalization of this estimator is applied to the context of DIF to compare items by taking the covariance of odds ratio estimators between dependent items into account.
Ivy Liu +5 more
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Dose-Weighted Adjusted Mantel-Haenszel Tests for Numeric Scaled Strata in a Randomized Trial [PDF]
Statistics in Biopharmaceutical Research, 2011 A recent three-arm parallel groups randomized clinical prevention trial had a protocol deviation causing participants to have fewer active doses of an in-office treatment than planned. The original statistical analysis plan stipulated a minimal assumption randomization-based extended Mantel-Haenszel (EMH) trend test of the high frequency, low frequency,
Stuart A, Gansky +2 more
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DIF in the Spanish Version of the Verbal Selective Reminding Test Using Samples From Hispanics in the United States, Mexicans, and Spaniards [PDF]
Frontiers in Psychology, 2019 AimBefore a test can be used in the target population, it is necessary to demonstrate that there is measurement equivalence. One way to do this is by studying differential item functioning (DIF).ObjectiveIn this study, we used the Mantel–Haenszel ...
Manuel Morales-Ortiz +1 more
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An Equivalence Test between Mantel-Haenszel Rate Ratio and Standardized Mortality Ratio
Journal of Epidemiology, 1994 In the analysis of stratified person-time follow-up data, the multiplicative incidence rate model requires the rate ratio homogeneity across strata. This homogeneity assumption is statistically convenient but biologically stringent. When we do not have any strong biological models on incidence rate ratio homogeneity, we cannot justify using the ...
Tosiya Sato
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دراسات: العلوم التربويةObjectives: This study aims to determine the effectiveness of the Mantel Haenszel Log Odds Ratio method in detecting Differential Item Functioning (DIF) across gender, while considering variations in sample size and test length. Utilizing real data, the
Reem Mohammad Elyan +1 more
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