Power of the Mantel-Haenszel and other tests for discrete or grouped time-to-event data under a chained binomial model. [PDF]
Stat Med, 2013 Lachin JM.
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Multilevel Generalized Mantel-Haenszel for Differential Item Functioning Detection
Frontiers in Education, 2019 Research has demonstrated that when data are collected in a multilevel framework, standard single level differential item functioning (DIF) analyses can yield incorrect results, particularly inflated Type I error rates.
Brian F. French +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.
Paul Rippon, John C. W. Rayner
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DIF DETECTION AND DESCRIPTION: MANTEL‐HAENSZEL AND STANDARDIZATION1,2 [PDF]
ETS Research Report Series, 1992 ABSTRACTAt the Educational Testing Service, the Mantel‐Haenszel procedure is used for differential item functioning (DIF) detection and the standardization procedure is used to describe DIF. This report describes these procedures. First, an important distinction is made between DIF and Impact, pointing the need to compare the comparable.
Paul W. Holland, Neil J. Dorans
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DIFFERENTIAL ITEM FUNCTIONING AND THE MANTEL‐HAENSZEL PROCEDURE [PDF]
ETS Research Report Series, 1986 ABSTRACTThe Mantel‐Haenszel procedure is a noniterative contingency table method for estimating and testing a common two‐factor association parameter in a 2×2×k table. As such it may be used to study “item bias” or differential item functioning in two groups of examinees.
Paul W. Holland, Dorothy T. Thayer
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A New Stopping Criterion for Rasch Trees Based on the Mantel-Haenszel Effect Size Measure for Differential Item Functioning. [PDF]
Educ Psychol Meas, 2023 To detect differential item functioning (DIF), Rasch trees search for optimal splitpoints in covariates and identify subgroups of respondents in a data-driven way.
Henninger M, Debelak R, Strobl C.
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An Adaptive Mantel–Haenszel Test for Sensitivity Analysis in Observational Studies
Biometrics, 2016 SummaryIn a sensitivity analysis in an observational study with a binary outcome, is it better to use all of the data or to focus on subgroups that are expected to experience the largest treatment effects? The answer depends on features of the data that may be difficult to anticipate, a trade-off between unknown effect-sizes and known sample sizes.
Paul R. Rosenbaum, Dylan S. Small
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Network meta‐analysis of rare events using the Mantel‐Haenszel method [PDF]
Statistics in Medicine, 2019 The Mantel‐Haenszel (MH) method has been used for decades to synthesize data obtained from studies that compare two interventions with respect to a binary outcome.
Orestis Efthimiou +5 more
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A General Overview Of Mantel-Haenszel Methods: Applications And Recent Developments [PDF]
Annual Review of Public Health, 1988 Many health research investigations are concerned with the relationship be tween a primary factor, such as a potentially harmful exposure, a new therapy, or an intervention, and a response variable such as disease status, level of functioning, or extent of improvement.
S. Kuritz
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Generalized Mantel-Haenszel Procedures for 2 × J Tables
Environmental Health Perspectives, 1994 Generalization of Mantel-Haenszel procedure for 2 x J (J > 2) tables is reviewed. Included are generalized Mantel-Haenszel tests, estimators for a common odds ratio, and generalized Breslow-Day test for the homogeneity of odds ratios across the strata.-Environ Health Perspect 102(Suppl 8): 57-60 (1994)
Takashi Yanagawa +2 more
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