Abstract
The Bioconductor R package multtest implements widely applicable resampling-based single-step and stepwise multiple testing procedures (MTP) for controlling a broad class of Type I error rates. The current version of multtest provides MTPs for tests concerning means, differences in means, and regression parameters in linear and Cox proportional hazards models. Typical testing scenarios are illustrated by applying various MTPs implemented in multtest to the Acute Lymphoblastic Leukemia (ALL) data set of Chiaretti et al. (2004), with the aim of identifying genes whose expression measures are associated with (possibly censored) biological and clinical outcomes.
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© 2005 Springer Science+Business Media, Inc.
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Pollard, K.S., Dudoit, S., van der Laan, M.J. (2005). Multiple Testing Procedures: the multtest Package and Applications to Genomics. In: Gentleman, R., Carey, V.J., Huber, W., Irizarry, R.A., Dudoit, S. (eds) Bioinformatics and Computational Biology Solutions Using R and Bioconductor. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/0-387-29362-0_15
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DOI: https://doi.org/10.1007/0-387-29362-0_15
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-25146-2
Online ISBN: 978-0-387-29362-2
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