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:
|
284
|
Type:
|
Topic Contributed
|
Date/Time:
|
Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Social Statistics Section
|
Abstract - #304463 |
Title:
|
A Powerful and Robust Test Statistic for Randomization Inference in Group-Randomized Trials with Matched Pairs of Groups
|
Author(s):
|
Kai Zhang*+ and Mikhail Traskin and Dylan Small
|
Companies:
|
University of Pennsylvania and Amazon.com and The Wharton School
|
Address:
|
3730 Walnut Street, Philadelphia, PA, 19104, United States
|
Keywords:
|
Causal effect ;
Group-randomized trials ;
Randomization inference ;
Rank-based statistics ;
Robustness
|
Abstract:
|
For group-randomized trials, randomization inference based on rank statistics provides robust, exact inference against nonnormal distributions. However, in a matched-pair design, the currently available rank-based statistics lose significant power compared to normal linear mixed model (LMM) test statistics when the LMM is true. In this article, we investigate and develop an optimal test statistic over all statistics in the form of the weighted sum of signed Mann-Whitney-Wilcoxon statistics under certain assumptions. This test is almost as powerful as the LMM even when the LMM is true, but it is much more powerful for heavy tailed distributions. A simulation study is conducted to examine the power.
|
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.