Bonferroni

Bonferroni-Holm (1979) correction for multiple comparisons. This is a sequentially rejective version of the simple Bonferroni correction for multiple comparisons and strongly controls the family-wise error rate at level alpha. It works as follows:1) All p-values are sorted in order of smallest to...

This function can be used to perform multiple comparisons between groups of sample data.The Bonferroni correction is used to keep the total chance of erroneously reporting a difference below some ALPHA value.For example, consider an experiment with four patients. Their temperature is measured at...

Dunn's test is the not parametric analog of Holm-Sidak multiple t-test. When you use the Kruskal-Wallis test, you know if there is a difference among your groups, but you can't apply the KWtest for each couple because the overall error is >alpha (Bonferroni inequality). By Dunn's test you can...


Platforms: Matlab

Permutation test of the null hypothesis that a set of data was sampled from a symmetric distribution with a particular mean. The test is based on a t-statistic and can be applied to situations in which a one sample or paired sample/repeated measures t-test is appropriate. Note, that this test is...


Platforms: Matlab

This script computes the Pearson???*a*?s Chi-Squared Statistic for a contingency table with m groups and n observations (m rows and n columns). For 2x2 tables the p-value, *log10 p-value, Bonferroni p-value and *log10 Bonferroni p-value are also computed.


Platforms: Mac

GO::TermFinder is a Perl module that can identify GO nodes that annotate a group of genes with a significant p-value. This package is intended to provide a method whereby the P-values of a set of GO annotations can be determined for a set of genes, based on the number of genes that exist in the...


Platforms: *nix

PairwiseTests calculates three pairwise tests to control experimentwise error rates: simple Bonferroni, Holm's sequential Bonferroni, and Benjamin & Hochberg's False Discovery Rate.


Platforms: Mac

As you know, the Student t-test can be used only to compare two groups. When you have k groups you can't use a t-test for each couple because, if you have fixed alpha=0.05 for each t-test, there is a probability of k*0.05 to find a difference when it isn't (Bonferroni inequality).The Holm-Sidak...


Platforms: Matlab

Among the considerations in the use of analysis of regression, outliers or bad values can seriously disturb the least-squares fit. They falls far from the line implied by the rest of the data. If these points are really outliers, then the estimate of the intercept may be incorrect and the...


Platforms: Matlab

Executes the Benjamini & Hochberg (1995) procedure for controlling the false discovery rate (FDR) of a family of hypothesis tests. FDR is the expected proportion of rejected hypotheses that are mistakenly rejected (i.e., the null hypothesis is actually true for those tests). FDR is generally a...


Platforms: Matlab