Title: The nature of sensitivity in monotone missing not at random models
Authors: Jansen, I ×
Hens, Nathalie
Molenberghs, Geert
Aerts, Marc
Verbeke, Geert
Kenward, MG #
Issue Date: Feb-2006
Publisher: North-Holland Pub. Co.
Series Title: Computational Statistics & Data Analysis vol:50 issue:3 pages:830-858
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.
ISSN: 0167-9473
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Electrical Engineering - miscellaneous
Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
Department of Kinesiology - miscellaneous
Studiegebied Onderwijs VIVES-Zuid
× corresponding author
# (joint) last author

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