JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 522
Type: Contributed
Date/Time: Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #306534
Title: Aligned Rank Tests: An Application to Clinical Trials
Author(s): John Kloke*+ and Tom Cook
Companies: University of Wisconsin-Madison and University of Wisconsin-Madison
Address: 209 WARF, Madison, WI, 53726, United States
Keywords: nonparametric ; Wilcoxon ; simulation ; efficacy ; covariates

Standard nonparametric tests are fairly common in clinical practice, for example the Wilcoxon rank-sum. These approaches, however, do not allow for the adjustment of covariates. Aligned rank tests allow the analyst to first adjust for baseline demographics or other patient characteristics prior to application of the Wilcoxon or a similar test based on ranks.

In this presentation we illustrated the use of aligned rank tests on a large clinical dataset. We use this dataset as a basis for a Monte Carlo simulation which demonstrates the increase in power over standard parametric approaches when the assumption of normality is not met.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.