Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1982

Title: The nature of sensitivity in monotone missing not at random models
Authors: Jansen, Ivy
Hens, Niel
Molenberghs, Geert
Aerts, Marc
Verbeke, Geert
Kenward, Michael G.
Issue Date: 2006
Abstract: Models for incomplete longitudinal data under missingness not at random have gained some popularity. At the same time, cautionary remarks have been issued regarding their sensitivity to often unverifiable modeling assumptions. Consequently, there is evidence for a shift towards using ignorable methodology, supplemented with sensitivity analyses to explore the impact of potential deviations of this assumption in the direction of missingness at random. One such tool is local influence. It is shown that local influence tends to pick up a lot of different anomalies in the data at hand, not just deviations in the MNAR mechanism. This particular behavior is described and insight offered in terms of the non-standard behavior of the likelihood ratio test statistic for MAR missingness versus MNAR missingness within a model of the Diggle and Kenward type. (c) 2004 Elsevier B.V. All rights reserved.
Notes: Limburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. Katholieke Univ Leuven, Ctr Biostat, Louvain, Belgium. London Sch Hyg & Trop Med, Med Stat Unit, London WC1, England.Jansen, I, Limburgs Univ Ctr, Ctr Stat, Univ Campus Bldg D, B-3590 Diepenbeek, Belgium.ivy.jansen@luc.ac.be
URI: http://hdl.handle.net/1942/1982
DOI: 10.1016/j.csda.2004.10.009
ISI #: 000232738400016
ISSN: 0167-9473
Category: A1
Type: Journal Contribution
Validation: ecoom, 2006
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Published version617.08 kBAdobe PDF
Peer-reviewed author version863.73 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.