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 | Publisher: | ELSEVIER SCIENCE BV | Source: | COMPUTATIONAL STATISTICS & DATA ANALYSIS, 50(3). p. 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. | 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 | Keywords: | ignorability; likelihood ratio test; linear mixed model; local influence; missing at random; missing not at random; sensitivity analysis;ignorability; likelihood ratio test; linear mixed model; local influence; missing at random; missing not at random; sensitivity analysis | Document URI: | http://hdl.handle.net/1942/1982 | ISSN: | 0167-9473 | e-ISSN: | 1872-7352 | DOI: | 10.1016/j.csda.2004.10.009 | ISI #: | 000232738400016 | Rights: | © 2004 Elsevier B.V. All rights reserved. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2006 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
CSDA2.pdf | Peer-reviewed author version | 852.27 kB | Adobe PDF | View/Open |
a.pdf Restricted Access | Published version | 617.08 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
56
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
53
checked on Apr 22, 2024
Page view(s)
64
checked on Sep 7, 2022
Download(s)
256
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.