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Multiple Testing Procedures: the multtest Package and Applications to Genomics

  • K. S. Pollard
  • S. Dudoit
  • M. J. van der Laan
Part of the Statistics for Biology and Health book series (SBH)

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.

Keywords

Acute Lymphoblastic Leukemia False Discovery Rate Null Distribution Expression Measure Augmentation Procedure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • K. S. Pollard
  • S. Dudoit
  • M. J. van der Laan

There are no affiliations available

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