Abstract
This paper describes a permutational step-up multiple comparison procedure to adjust the p values from k related hypotheses. The method is applicable when two groups of subjects are being compared on each of k outcomes. It is related to the step-down method of Westfall and Young (1993, Resampling-Based Multiple Testing: Examples and Methods for P-Value Adjustment, Volume 1) and Troendle (1995, Journal of the American Statistical Association 90, 370-378) and is an alternative to the analytic step-up method of Dunnett and Tamhane (1992, Journal of the American Statistical Association 87, 162-170), which requires a specific distribution and correlation structure. By conditioning on the data observed, this permutational method avoids any specific distribution or correlation assumption. It is shown very generally that the method asymptotically controls the familywise probability of a type I error.
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.
