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http://hdl.handle.net/1942/42177
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DC Field | Value | Language |
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dc.contributor.author | Sercundes, Ricardo K. | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | Demetrio, Clarice G. B. | - |
dc.contributor.author | da Silva, Sila C. | - |
dc.contributor.author | Moral, Rafael A. | - |
dc.date.accessioned | 2024-01-19T07:21:24Z | - |
dc.date.available | 2024-01-19T07:21:24Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2024-01-12T13:48:16Z | - |
dc.identifier.citation | STATISTICAL MODELLING, | - |
dc.identifier.uri | http://hdl.handle.net/1942/42177 | - |
dc.description.abstract | Longitudinal studies involving nominal outcomes are carried out in various scientific areas. These outcomes are frequently modelled using a generalized linear mixed modelling (GLMM) framework. This widely used approach allows for the modelling of the hierarchy in the data to accommodate different degrees of overdispersion. In this article, a combined model (CM) that takes into account overdispersion and clustering through two separate sets of random effects is formulated. Maximum likelihood estimation with analytic-numerical integration is used to estimate the model parameters. To examine the relative performance of the CM and the GLMM, simulation studies were carried out, exploring scenarios with different sample sizes, types of random effects, and overdispersion. Both models were applied to a real dataset obtained from an experiment in agriculture. We also provide an implementation of these models through SAS code. | - |
dc.description.sponsorship | RKS was supported by CAPES and CNPq (proc. no. 233554/2014-9), Brazil. CGBD and SCS were supported by CNPq, Brazil. | - |
dc.language.iso | en | - |
dc.publisher | SAGE PUBLICATIONS LTD | - |
dc.rights | 2023 The Author(s). Open access | - |
dc.subject.other | Multinomial distribution | - |
dc.subject.other | beta distribution | - |
dc.subject.other | hierarchical data | - |
dc.title | A combined overdispersed longitudinal model for nominal data | - |
dc.type | Journal Contribution | - |
local.format.pages | 18 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Moral, RA (corresponding author), Maynooth Univ, Dept Math & Stat, Maynooth, County Kildare, Ireland. | - |
dc.description.notes | rafael.deandrademoral@mu.ie | - |
local.publisher.place | 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.status | Early view | - |
dc.identifier.doi | 10.1177/1471082X231209361 | - |
dc.identifier.isi | 001128931300001 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Sercundes, Ricardo K.; Demetrio, Clarice G. B.] Univ Sao Paulo, Dept Exact Sci, ESALQ, Piracicaba, Brazil. | - |
local.description.affiliation | [Molenberghs, Geert; Verbeke, Geert] Univ Hasselt, I BioStat, Hasselt, Belgium. | - |
local.description.affiliation | [Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, Leuven, Belgium. | - |
local.description.affiliation | [da Silva, Sila C.] Univ Sao Paulo, ESALQ, Dept Anim Sci, Piracicaba, Brazil. | - |
local.description.affiliation | [Moral, Rafael A.] Maynooth Univ, Dept Math & Stat, Maynooth, County Kildare, Ireland. | - |
local.uhasselt.international | yes | - |
item.accessRights | Open Access | - |
item.fullcitation | Sercundes, Ricardo K.; MOLENBERGHS, Geert; VERBEKE, Geert; Demetrio, Clarice G. B.; da Silva, Sila C. & Moral, Rafael A. (2023) A combined overdispersed longitudinal model for nominal data. In: STATISTICAL MODELLING,. | - |
item.fulltext | With Fulltext | - |
item.contributor | Sercundes, Ricardo K. | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | Demetrio, Clarice G. B. | - |
item.contributor | da Silva, Sila C. | - |
item.contributor | Moral, Rafael A. | - |
crisitem.journal.issn | 1471-082X | - |
crisitem.journal.eissn | 1477-0342 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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A combined overdispersed longitudinal model for nominal data.pdf | Early view | 378.39 kB | Adobe PDF | View/Open |
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