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http://hdl.handle.net/1942/386
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DC Field | Value | Language |
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dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | THIJS, Herbert | - |
dc.contributor.author | LESAFFRE, Emmanuel | - |
dc.contributor.author | Kenward, Michael | - |
dc.date.accessioned | 2004-10-26T07:25:02Z | - |
dc.date.available | 2004-10-26T07:25:02Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | Computational Statistics and Data Analysis, 37(1). p. 93-113 | - |
dc.identifier.issn | 0167-9473 | - |
dc.identifier.uri | http://hdl.handle.net/1942/386 | - |
dc.description.abstract | Diggle and Kenward (Appl. Statist. 43 (1994) 49) proposed a selection model for continuous longitudinal data subject to possible non-random dropout. It has provoked a large debate about the role for such models. The original enthusiasm was followed by skepticism about the strong but untestable assumption upon which this type of models invariably rests. Since then, the view has emerged that these models should ideally be made part of a sensitivity analysis. One of their examples is a set of data on mastitis in dairy cattle, about which they concluded that the dropout process was non-random. The same data were used in Kenward (Statist. Med. 17 (1998) 2723), who performed an informal sensitivity analysis. It thus presents an interesting opportunity for a formal sensitivity assessment, as proposed by Verbeke et al. (sensitivity analysis for non-random dropout: a local influence approach | - |
dc.description.sponsorship | We thank Rod Little and Don Rubin for helpful comments. We gratefully acknowledge support from FWO-Vlaanderen Research Project “Sensitivity Analysis for Incomplete and Coarse Data” and from Vlaams Instituut voor de Bevordering van het Wetenschappelijk-Technologisch Onderzoek in de Industrie. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.rights | (C) 2001 Elsevier Science B.V. All rights reserved. | - |
dc.subject | Missing data | - |
dc.subject | Longitudinal data | - |
dc.subject.other | dropout; selection model; global influence; local influence; case deletion; sensitivity analysis | - |
dc.title | Influence analysis to assess sensitivity of the dropout process | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 113 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 93 | - |
dc.identifier.volume | 37 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1016/S0167-9473(00)00065-7 | - |
dc.identifier.isi | 000170079000007 | - |
item.accessRights | Restricted Access | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2002 | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | THIJS, Herbert | - |
item.contributor | LESAFFRE, Emmanuel | - |
item.contributor | Kenward, Michael | - |
item.fullcitation | MOLENBERGHS, Geert; VERBEKE, Geert; THIJS, Herbert; LESAFFRE, Emmanuel & Kenward, Michael (2001) Influence analysis to assess sensitivity of the dropout process. In: Computational Statistics and Data Analysis, 37(1). p. 93-113. | - |
crisitem.journal.issn | 0167-9473 | - |
crisitem.journal.eissn | 1872-7352 | - |
Appears in Collections: | Research publications |
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a.pdf Restricted Access | Published version | 239.93 kB | Adobe PDF | View/Open Request a copy |
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