Abstract
The package can be used to analyze the performance of step-up and step-down procedures. It can be used to compare powers, calculate the “false discovery rate”, to study the effects of reduced step procedures, and to calculate P [U ≤ k], where U is the number of rejected true hypotheses. It can be used to determine the maximum number of steps that can be made and still guarantee (with a given probability) that the number of false rejections will not exceed some specified number. The test statistics are assumed to have a multivariate-t distribution. Examples are included.
Highlights
There are many situations where a researcher is interested in the outcome of a family of tests
Multiple testing has increased in importance and micro-array experiments are common in such diverse areas as neuro-imaging, genomics and astronomy
Powerful multiple step methods have been developed for controlling the false discovery rate (FDR), that is, the expected proportion of type I errors
Summary
Find similar works at: https://stars.library.ucf.edu/facultybib2010 University of Central Florida Libraries http://library.ucf.edu. November 2012, Volume 51, Issue 6
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
