JSM 2004 Online Program

Abstract #301696

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Activity Number:	233
Type:	Contributed
Date/Time:	Tuesday, August 10, 2004 : 12:00 PM to 1:50 PM
Sponsor:	ENAR
Abstract - #301696
Title:	Exact Two-Sample Inference with Missing Data
Author(s):	Ken Cheung*+
Companies:	Columbia University
Address:	Dept. of Biostatistics, New York, NY, 10032,
Keywords:	exact inference ; Wilcoxon test
Abstract:	In comparing follow-up measurements from two independent populations, missing records may arise due to relocation or censoring by terminal events. I will present exact inference for a class of modified U-statistics under missing at random dropouts. The methods are nonparametric in that no distributional assumption is necessary for the outcome variables and the missingness pattern. The methodology was motivated by numerous applications to two-sample comparison in small studies that consist of missing data on a primary endpoint, but have complete records on a baseline variable. Two such datasets would be used as illustrative examples. I will also discuss the computational details for testing and estimation.

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