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http://hdl.handle.net/1942/20865
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DC Field | Value | Language |
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dc.contributor.author | RAKHMAWATI, Trias Wahyuni | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | FAES, Christel | - |
dc.date.accessioned | 2016-03-31T15:00:18Z | - |
dc.date.available | 2016-03-31T15:00:18Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Journal of applied statistics, 43 (9), p. 1722-1737 | - |
dc.identifier.issn | 0266-4763 | - |
dc.identifier.uri | http://hdl.handle.net/1942/20865 | - |
dc.description.abstract | We develop local influence diagnostics to detect influential subjects when generalized linear mixed models are fitted to incomplete longitudinal overdispersed count data. The focus is on the influence stemming from the dropout model specification. In particular, the effect of small perturbations around an MAR specification are examined. The method is applied to data from a longitudinal clinical trial in epileptic patients. The effect on models allowing for overdispersion is contrasted with that on models that do not. | - |
dc.description.sponsorship | Financial support from the IAP research network #P7/06 of the Belgian Government (Belgian Science Policy) is gratefully acknowledged. | - |
dc.language.iso | en | - |
dc.rights | © 2016 Taylor & Francis | - |
dc.subject.other | combined model; missing data; Poisson–Gamma–Normal model; Poisson–Normal model; sensitivity analysis | - |
dc.title | Local Influence Diagnostics for Incomplete Overdispersed Longitudinal Counts | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 1737 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | 1722 | - |
dc.identifier.volume | 43 | - |
local.format.pages | 16 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Molenberghs, G (reprint author), Univ Hasselt, I BioStat, Diepenbeek, Belgium. geert.molenberghs@uhasselt.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1080/02664763.2015.1117594 | - |
dc.identifier.isi | 000375002600010 | - |
dc.identifier.url | https://www.researchgate.net/publication/295401290_Local_influence_diagnostics_for_incomplete_overdispersed_longitudinal_counts | - |
item.fulltext | With Fulltext | - |
item.fullcitation | RAKHMAWATI, Trias Wahyuni; MOLENBERGHS, Geert; VERBEKE, Geert & FAES, Christel (2015) Local Influence Diagnostics for Incomplete Overdispersed Longitudinal Counts. In: Journal of applied statistics, 43 (9), p. 1722-1737. | - |
item.contributor | RAKHMAWATI, Trias Wahyuni | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | FAES, Christel | - |
item.accessRights | Restricted Access | - |
item.validation | ecoom 2017 | - |
crisitem.journal.issn | 0266-4763 | - |
crisitem.journal.eissn | 1360-0532 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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474.pdf Restricted Access | Published version | 1.83 MB | Adobe PDF | View/Open Request a copy |
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