Statistical aspects of the analysis of data from retrospective studies of disease.
By N. Mantel, W. Haenszel. 1959
Subfields: Statistics and Probability, Medical & Health AI
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Paul R. Rosenbaum
- W. Viechtbauer
- P. Cummings
- Ben B. Hansen
- S. Klopfer
- Alan Agresti
- Kevin J. Grimm
- R. Apel
In Medical & Health AI
- H. Tyreman
- Ya-Hui Su
- B. McKnight
- P. Cummings
- Arjan A. J. Blokland
- A. Vinik
- Allen Blackman
- W. Viechtbauer
Citations in the corpus
- On Network Design Spaces for Visual Recognition (2019, background): “Another way to account for complexity is stratified analysis [24].”
- The distance dependence prediction of the Janzen-Connell hypothesis: a meta-analysis (2003, methodology): “(Mantel and Haenszel 1959, Yusuf et al. 1985), and studies were combined using traditional meta-analysis methodology (Rosenberg et al. 2000).”
- Much ado about nothing: a comparison of the performance of meta‐analytical methods with rare events (2007, methodology): “The bias was greatest in inverse variance and DerSimonian and Laird odds ratio and risk di erence methods, and the Mantel–Haenszel (MH) odds ratio method using a 0.5 zero-cell correction.”
- Formulating the Rasch Differential Item Functioning Model Under the Marginal Maximum Likelihood Estimation Context and Its Comparison With Mantel–Haenszel Procedure in Short Test and Small Sample Conditions (2011, methodology): “…modeling in detail in the marginal maximum likelihood (MML) estimation context and discuss its relationship with one of the most widely used DIF methods, the Mantel–Haenszel (MH) procedure (Holland & Thayer, 1988; Mantel & Haenszel, 1959) and with Educational Testing Service (ETS) DIF cat- egories.”
- Paper park performance: Mexico's natural protected areas in the 1990s (2015, methodology): “To be more specific, the Rosenbaum procedure adapted to a binary outcome generates a probability value for Mantel and Haenszel (1959) test statistic for a series of values of G, an index of the strength of the influence that unobserved confounding factors have on the selection process.”
- OPTIMOX1: a randomized study of FOLFOX4 or FOLFOX7 with oxaliplatin in a stop-and-Go fashion in advanced colorectal cancer--a GERCOR study. (2006, methodology): “The Mantel-Haenszel test was used to compare proportions.(14) The Cox regression model was used for multivariate analysis of prognostic factors for survival, using a backward selection approach.”
- Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. (2005, methodology): “effects estimates of relative risk were calculated according to the MantelHaenszel method (6).”
- Accent, listening assessment and the potential for a shared-L1 advantage: A DIF perspective (2012, methodology): “The two DIF detection procedures chosen as methods for the current study were the standardization procedure (also known as conditional p value) (Dorans & Kulick, 1983) and the Mantel-Haenszel procedure (Dorans, 1989; Mantel & Haenszel, 1959).”
- Measuring discrimination in algorithmic decision making (2017, unknown): “The related Cochran-Mantel-Haenszel test [16, 42] is a formal statistical counterpart for hypothesis testing.”
- Sudden Death in Young Adults: A 25-Year Review of Autopsies in Military Recruits (2004, methodology): “We calculated CIs for mortality rates by using the Rothman binomial method (24), and we calculated P values for comparisons by using the Mantel–Haenszel method (25).”