Abstract #300529

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JSM 2003 Abstract #300529
Activity Number: 468
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #300529
Title: A Permutation Test to Account for Missing Data in Small Paired Samples
Author(s): KyungAh Im*+ and John Wilson and Steven Belle and Jong-Hyeon Jeong
Companies: University of Pittsburgh and University of Pittsburgh and University of Pittsburgh and University of Pittsburgh
Address: 1100 Penn. Center Blvd. 414, Pittsburgh, PA, 15235-5328,
Keywords: permutation test ; missing data ; correlated sample
Abstract:

We propose a new test statistic based on the Wilcoxon Signed Rank Test to detect a location shift from two correlated distributions with missing data in both groups. The null hypothesis distribution of the new statistic is presented. The empirical power of the new procedure is compared to those of three existing nonparametric test statistics through Monte Carlo simulations. The proposed test statistic demonstrates high power and, under some circumstances, the highest power of the four statistics compared. These test statistics are applied to a dataset from a study of T cell receptors in cancer patients.

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