Search results
Results From The WOW.Com Content Network
An alternative exact test, Barnard's exact test, has been developed and proponents [23] of it suggest that this method is more powerful, particularly in 2×2 tables. [24] Furthermore, Boschloo's test is an exact test that is uniformly more powerful than Fisher's exact test by construction. [25]
Fisher's exact test, based on the work of Ronald Fisher and E. J. G. Pitman in the 1930s, is exact because the sampling distribution (conditional on the marginals) is known exactly. This should be compared with Pearson's chi-squared test , which (although it tests the same null) is not exact because the distribution of the test statistic is ...
A number of alternative estimators of the odds ratio have been proposed to address limitations of the sample odds ratio. One alternative estimator is the conditional maximum likelihood estimator, which conditions on the row and column margins when forming the likelihood to maximize (as in Fisher's exact test). [16]
Fisher, R. A. 1954. Statistical Methods for Research Workers. Oliver and Boyd. Mehta, C. R. 1995. SPSS 6.1 Exact test for Windows. Prentice Hall. Mehta CR and Patel NR. 1983. A network algorithm for performing Fisher's exact test in rxc contingency tables. Journal of the American Statistical Association, 78(382): 427–434. Mehta CR and Patel ...
Fisher's exact test is designed for the first case and therefore an exact conditional test (because it conditions on the column sums). The typical example of such a case is the Lady tasting tea: A lady tastes 8 cups of tea with milk.
The significance of the difference between the two proportions can be assessed with a variety of statistical tests including Pearson's chi-squared test, the G-test, Fisher's exact test, Boschloo's test, and Barnard's test, provided the entries in the table represent individuals randomly sampled from the population about which conclusions are to ...
Statistical tests used to compare sets of data have been designed for data sets that are either paired or unpaired, making it important to use the correct test to prevent erroneous results. Tests for paired data include McNemar's test and the paired permutation test. Tests for unpaired data include Pearson's chi-squared test and Fisher's exact ...
[1] [2] Choosing the right statistical test is not a trivial task. [1] The choice of the test depends on many properties of the research question. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use .