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http://hdl.handle.net/1942/388
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DC Field | Value | Language |
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dc.contributor.author | VAN STEEN, Kristel | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | THIJS, Herbert | - |
dc.date.accessioned | 2004-10-26T07:25:38Z | - |
dc.date.available | 2004-10-26T07:25:38Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | STATISTICAL MODELLING, 1(2). p. 125-142 | - |
dc.identifier.issn | 1471-082X | - |
dc.identifier.uri | http://hdl.handle.net/1942/388 | - |
dc.description.abstract | One of the major concerns when analysing incomplete longitudinal data is the fact that models necessarily rest on strong assumptions, unverifiable from the data. In response to these concerns, there is growing awareness of the usefulness of sensitivity analysis. In this paper we will focus on repeated ordinal data. Specifically, we implement a formal approach to such a sensitivity assessment, based on local influence, in the presence of multivariate categorical data. We explore the influence of perturbing a MAR dropout model in the direction of non-random dropout, and apply the proposed method to data from a longitudinal multicentre psychiatric study. | - |
dc.description.sponsorship | We gratefully acknowledge support from FWO-Vlaanderen Research Project ‘Sensitivity Analysis for Incomplete and Coarse Data’. The first author wishes to thank the Vlaamse Interuniversitaire Raad for granting support. The fourth author gratefully acknowledges support from a research grant of Vlaams Instituut voor de Bevordering van het Wetenschappelijk-Technologisch Onderzoek in de Industrie. | - |
dc.language.iso | en | - |
dc.rights | (C) Arnold 2001 | - |
dc.subject | Categorical data | - |
dc.subject | Longitudinal data | - |
dc.subject | Missing data | - |
dc.subject.other | influence analysis; incomplete data; multivariate Dale model; missing data; perturbation scheme; sensitivity analysis | - |
dc.title | A local influence approach to sensitivity analysis of incomplete longitudinal ordinal data | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 142 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 125 | - |
dc.identifier.volume | 1 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A2 | - |
dc.identifier.doi | 10.1177/1471082X0100100203 | - |
item.fulltext | With Fulltext | - |
item.fullcitation | VAN STEEN, Kristel; MOLENBERGHS, Geert; VERBEKE, Geert & THIJS, Herbert (2001) A local influence approach to sensitivity analysis of incomplete longitudinal ordinal data. In: STATISTICAL MODELLING, 1(2). p. 125-142. | - |
item.contributor | VAN STEEN, Kristel | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | THIJS, Herbert | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 1471-082X | - |
crisitem.journal.eissn | 1477-0342 | - |
Appears in Collections: | Research publications |
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a.pdf Restricted Access | Published version | 372.44 kB | Adobe PDF | View/Open Request a copy |
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