×

multtest

swMATH ID: 8262
Software Authors: Katherine S. Pollard, Houston N. Gilbert, Yongchao Ge, Sandra Taylor, Sandrine Dudoit
Description: multtest: Resampling-based multiple hypothesis testing. Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.
Homepage: http://www.bioconductor.org/packages/release/bioc/html/multtest.html
Dependencies: R
Related Software: R; Bioconductor; gcrma; qvalue; vcd; mvtnorm; Phyloseq; structSSI; fastICA; MASS (R); fda (R); SAS; affy; haplo.stats; SNPStats; SNPassoc; Stata; SAS/STAT; modeltools; exactRankTests
Cited in: 18 Publications

Citations by Year