Abstract #301437

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JSM 2003 Abstract #301437
Activity Number: 418
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #301437
Title: Nonparametric Analysis of Data Missing Conditionally at Random
Author(s): Efi Antoniou*+ and Michael G. Akritas
Companies: Pennsylvania State University and Pennsylvania State University
Address: 532 E College Ave., State College, PA, 16801,
Keywords: kernel estimation ; nonparametric imputation ; conditional distribution ; marginal distribution
Abstract:

Akritas and Kuha (2002) have recently proposed a different definition of missing at random (MAR), where the data are missing conditionally at random (MCR). There approach is applicable only for the case of matched pairs. The new definition is critical for the development of a fully nonparametric test in the matched pairs problem with missing observations. I will present an extension of this definition to repeated measures designs with arbitrarily many 'measurements' per subject. This extension allows the development of completely nonparametric method for testing for the presence of factor effects via the nonparametric model of Akritas and Arnold (1994). Simulation results and data analysis will be presented. This is a joint work with Michael Akritas.

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