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http://hdl.handle.net/1942/38940
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DC Field | Value | Language |
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dc.contributor.author | Delporte, Margaux | - |
dc.contributor.author | FIEUWS, Steffen | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | Wanyama, Simeon Situma | - |
dc.contributor.author | Hatziagorou, Elpis | - |
dc.contributor.author | De Boeck, Christiane | - |
dc.date.accessioned | 2022-11-29T07:31:55Z | - |
dc.date.available | 2022-11-29T07:31:55Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2022-11-25T10:22:31Z | - |
dc.identifier.citation | INTERNATIONAL STATISTICAL REVIEW, 90 (S1) , p. S37 -S51 | - |
dc.identifier.uri | http://hdl.handle.net/1942/38940 | - |
dc.description.abstract | In biomedical research, often hierarchical binary and continuous responses need to be jointly modelled. In joint generalised linear mixed models, this can be done with correlated random effects, which allows examining the association structure between the various responses and the evolution of this association over time. In addition, the effect of covariates on all outcomes can be assessed simultaneously. Still, investigating this association is often limited to examining the correlations between the responses on an underlying scale. In addition, the interpretation of this hierarchical model is conditional on the subject-specific random effects. This paper extends this approach and shows how manifest correlations can be computed, that is, the associations between the observed responses. Further, a marginal model is formulated, in which the interpretation is no longer conditional on the random effects. In addition, prediction intervals are derived of one subvector of responses conditional on the other. These methods are applied in a case study of the lung function and allergic bronchopulmonary aspergillosis in patients with cystic fibrosis. | - |
dc.description.sponsorship | We would like to thank the Belgian Cystic Fibrosis Registry (BCFR) and the specialised care providers at the Belgian CF reference centres for their input into the collection and validation of the registry data and especially to the patients for consenting to the collection and use of their data. The BCFR is funded by the National Institute for Health and Disability Insurance | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.rights | 2022 International Statistical Institute. | - |
dc.subject.other | joint model | - |
dc.subject.other | probit link | - |
dc.subject.other | random effects model | - |
dc.title | A joint normal-binary (probit) model | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | S51 | - |
dc.identifier.issue | S1 | - |
dc.identifier.spage | S37 | - |
dc.identifier.volume | 90 | - |
local.format.pages | 15 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Delporte, M (corresponding author), Katholieke Univ Leuven, I BioStat, B-3000 Leuven, Belgium. | - |
dc.description.notes | margaux.delporte@kuleuven.be | - |
local.publisher.place | 111 RIVER ST, HOBOKEN 07030-5774, NJ USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1111/insr.12532 | - |
dc.identifier.isi | 000879896300001 | - |
dc.contributor.orcid | Hatziagorou, Elpis/0000-0001-9505-2054; Verbeke, | - |
dc.contributor.orcid | Geert/0000-0001-8430-7576; Molenberghs, Geert/0000-0002-6453-5448; | - |
dc.contributor.orcid | Delporte, Margaux/0000-0001-6234-8860 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Delporte, Margaux; Fieuws, Steffen; Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, B-3000 Leuven, Belgium. | - |
local.description.affiliation | [Molenberghs, Geert; Verbeke, Geert] Univ Hasselt, I BioStat, B-3590 Diepenbeek, Belgium. | - |
local.description.affiliation | [Wanyama, Simeon Situma] Sciensano, Dept Epidemiol & Publ Hlth, BE-1050 Brussels, Belgium. | - |
local.description.affiliation | [Hatziagorou, Elpis] Aristotle Univ Thessaloniki, Hippokrat Hosp Thessaloniki, Paediat Pulmonol & CF Unit, Thessaloniki, Greece. | - |
local.description.affiliation | [De Boeck, Christiane] Univ Leuven, Univ Hosp Gasthuisberg, Leuven, Belgium. | - |
local.uhasselt.international | yes | - |
item.contributor | Delporte, Margaux | - |
item.contributor | FIEUWS, Steffen | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | Wanyama, Simeon Situma | - |
item.contributor | Hatziagorou, Elpis | - |
item.contributor | De Boeck, Christiane | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2023 | - |
item.fullcitation | Delporte, Margaux; FIEUWS, Steffen; MOLENBERGHS, Geert; VERBEKE, Geert; Wanyama, Simeon Situma; Hatziagorou, Elpis & De Boeck, Christiane (2022) A joint normal-binary (probit) model. In: INTERNATIONAL STATISTICAL REVIEW, 90 (S1) , p. S37 -S51. | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 0306-7734 | - |
crisitem.journal.eissn | 1751-5823 | - |
Appears in Collections: | Research publications |
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A joint normal‐binary (probit) model.pdf Restricted Access | Published version | 288.24 kB | Adobe PDF | View/Open Request a copy |
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