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http://hdl.handle.net/1942/1982
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DC Field | Value | Language |
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dc.contributor.author | JANSEN, Ivy | - |
dc.contributor.author | HENS, Niel | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | AERTS, Marc | - |
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | Kenward, Michael G. | - |
dc.date.accessioned | 2007-11-09T15:22:32Z | - |
dc.date.available | 2007-11-09T15:22:32Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | COMPUTATIONAL STATISTICS & DATA ANALYSIS, 50(3). p. 830-858 | - |
dc.identifier.issn | 0167-9473 | - |
dc.identifier.uri | http://hdl.handle.net/1942/1982 | - |
dc.description.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. | - |
dc.description.sponsorship | vy Jansen, Niel Hens, Geert Molenberghs and Marc Aerts gratefully acknowledge support from Fonds Wetenschappelijk Onderzoek-Vlaanderen Research Project G.0002.98 “Sensitivity Analysis for Incomplete and Coarse Data” and from Belgian IUAP/PAI network “Statistical Techniques and Modeling for Complex Substantive Questions with Complex Data”. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.rights | © 2004 Elsevier B.V. All rights reserved. | - |
dc.subject.other | ignorability; likelihood ratio test; linear mixed model; local influence; missing at random; missing not at random; sensitivity analysis | - |
dc.subject.other | ignorability; likelihood ratio test; linear mixed model; local influence; missing at random; missing not at random; sensitivity analysis | - |
dc.title | The nature of sensitivity in monotone missing not at random models | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 858 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 830 | - |
dc.identifier.volume | 50 | - |
local.format.pages | 29 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.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 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1016/j.csda.2004.10.009 | - |
dc.identifier.isi | 000232738400016 | - |
item.validation | ecoom 2006 | - |
item.fullcitation | JANSEN, Ivy; HENS, Niel; MOLENBERGHS, Geert; AERTS, Marc; VERBEKE, Geert & Kenward, Michael G. (2006) The nature of sensitivity in monotone missing not at random models. In: COMPUTATIONAL STATISTICS & DATA ANALYSIS, 50(3). p. 830-858. | - |
item.contributor | JANSEN, Ivy | - |
item.contributor | HENS, Niel | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | AERTS, Marc | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | Kenward, Michael G. | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 0167-9473 | - |
crisitem.journal.eissn | 1872-7352 | - |
Appears in Collections: | Research publications |
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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 |
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