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DC Field | Value | Language |
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dc.contributor.author | ABRAMS, Steven | - |
dc.contributor.author | AERTS, Marc | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | HENS, Niel | - |
dc.date.accessioned | 2017-05-11T12:59:15Z | - |
dc.date.available | 2017-05-11T12:59:15Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | BIOMETRICS, 73(4), p. 1388-1400. | - |
dc.identifier.issn | 0006-341X | - |
dc.identifier.uri | http://hdl.handle.net/1942/23638 | - |
dc.description.abstract | Frailty models have a prominent place in survival analysis to model univariate and multivariate time-to-event data, often complicated by the presence of different types of censoring. In recent years, frailty modeling gained popularity in infectious disease epidemiology to quantify unobserved heterogeneity using Type I interval-censored serological data or current status data. In a multivariate setting, frailty models prove useful to assess the association between infection times related to multiple distinct infections acquired by the same individual. In addition to dependence among individual infection times, overdispersion can arise when the observed variability in the data exceeds the one implied by the model. In this article, we discuss parametric overdispersed frailty models for time-to-event data under Type I interval-censoring, building upon the work by Molenberghs et al. (2010) and Hens et al. (2009). The proposed methodology is illustrated using bivariate serological data on hepatitis A and B from Flanders, Belgium anno 1993–1994. Furthermore, the relationship between individual heterogeneity and overdispersion at a stratum-specific level is studied through simulations. Although it is important to account for overdispersion, one should be cautious when modeling both individual heterogeneity and overdispersion based on current status data as model selection is hampered by the loss of information due to censoring. | - |
dc.description.sponsorship | This work was supported by the Research Fund of Hasselt University (grant BOF11NI31 to S.A.). N.H. received support from the University of Antwerp by way of the Scientific Chair in Evidence-based Vaccinology, financed in 2009–2014 by a gift from Pfizer, Inc., New York. The authors gratefully acknowledge financial support from the IAP research Network P7/06 of the Belgian Government (Belgian Science Policy). This research is part of a project that has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement 682540 – TransMID). | - |
dc.language.iso | en | - |
dc.rights | © 2017, The International Biometric Society | - |
dc.subject.other | correlated frailty models; current status data; Gompertz hazards; infectious disease epidemiology; overdispersed frailty models; serological survey data. | - |
dc.title | Parametric overdispersed frailty models for current status data. | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 1400 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 1388 | - |
dc.identifier.volume | 73 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Abrams, S (reprint author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. steven.abrams@uhasselt.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.type.programme | H2020 | - |
local.relation.h2020 | 682540 | - |
dc.identifier.doi | 10.1111/biom.12692 | - |
dc.identifier.isi | 000418854100031 | - |
item.fullcitation | ABRAMS, Steven; AERTS, Marc; MOLENBERGHS, Geert & HENS, Niel (2017) Parametric overdispersed frailty models for current status data.. In: BIOMETRICS, 73(4), p. 1388-1400.. | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2019 | - |
item.contributor | ABRAMS, Steven | - |
item.contributor | AERTS, Marc | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | HENS, Niel | - |
item.accessRights | Open Access | - |
crisitem.journal.issn | 0006-341X | - |
crisitem.journal.eissn | 1541-0420 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Auteursversie_31032017.pdf | Peer-reviewed author version | 279.92 kB | Adobe PDF | View/Open |
Abrams_et_al-2017-Biometrics.pdf Restricted Access | Published version | 208.61 kB | Adobe PDF | View/Open Request a copy |
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