Search results
Results from the WOW.Com Content Network
In statistics, the Cochran–Mantel–Haenszel test (CMH) is a test used in the analysis of stratified or matched categorical data. It allows an investigator to test the association between a binary predictor or treatment and a binary outcome such as case or control status while taking into account the stratification. [ 1 ]
The test is sometimes called the Mantel–Cox test. The logrank test can also be viewed as a time-stratified Cochran–Mantel–Haenszel test . The test was first proposed by Nathan Mantel and was named the logrank test by Richard and Julian Peto .
The McNemar's test is a special case of the Cochran–Mantel–Haenszel test; it is equivalent to a CMH test with one stratum for each of the N pairs and, in each stratum, a 2x2 table showing the paired binary responses. [18] Multinomial confidence intervals are used for matched pairs binary data.
OpenEpi is a free, web-based, open source, operating system-independent series of programs for use in epidemiology, biostatistics, public health, and medicine, providing a number of epidemiologic and statistical tools for summary data.
The first independent variable, , is the matching variable used to link individuals on ability, in this case a total test score, similar to that employed by the Mantel-Haenszel procedure. The group membership variable is denoted G {\textstyle G} and in the case of regression is represented through dummy coded variables.
Pages for logged out editors learn more. Contributions; Talk; Cochran–Mantel–Haenzel test
The test is commonly used in ecology, where the data are usually estimates of the "distance" between objects such as species of organisms. For example, one matrix might contain estimates of the genetic distances (i.e., the amount of difference between two different genomes) between all possible pairs of species in the study, obtained by the methods of molecular systematics; while the other ...
Nathan Mantel (February 16, 1919 – May 25, 2002) [1] was an American biostatistician best known for his work with William Haenszel that led to the Mantel–Haenszel test and its associated estimate, the Mantel–Haenszel odds ratio. The Mantel–Haenszel procedure and its extensions allow data from several sources or groups to be combined ...