This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 256
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #306775
Title: Power and Robustness of Nonparametric Covariate Adjustment Methods for Ordinal Data
Author(s): Wei Tian*+ and Muhtarjan Osman
Companies: Inspire Pharmaceuticals and North Carolina State University
Address: 4222 Emperor Blvd., Durham, NC, 27703,
Keywords: Power ; Robustness ; Covariates Adjustment ; Non-parametric ; ANCOVA ; Ordinal Data

The goal of this work is to evaluate the performance of parametric ANCOVA and non-parametric approaches in terms of power and type I error rate for ordinal data. Three non-parametric approaches studied are Cochran-Mantel-Haenszel (CMH) test controlling for baseline score, the randomization-based approach proposed by Koch et al. (1998), and the non-parametric method proposed by Schacht et al. (2008). In general, the results of the simulation study indicate that the parametric ANCOVA method is robust for ordinal data in the sense that the type I error rate is well controlled around the nominal level. The power of the parametric ANCOVA is higher than the CMH test. Additionally, the power of Koch's method is almost identical to the parametric ANCOVA. The approach by Schacht et al. results in the highest power among all methods considered, but its type I error rate is inflated up to 40%.

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 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

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