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Title: | Joint models for mixed categorical outcomes: a study of HIV risk perception and disease status in Mozambique | Authors: | LOQUIHA, Osvaldo HENS, Niel Martins-Fonteyn, Emilia Meulemans, Herman Wouters, Edwin Temmerman, Marleen Osman, Nafissa AERTS, Marc |
Issue Date: | 2017 | Source: | Journal of Applied Statistics, 45 (10),p. 1781-1798 | Abstract: | Two types of bivariate models for categorical response variables are introduced to deal with special categories such as ‘unsure’ or ‘unknown’ in combination with other ordinal categories, while taking additional hierarchical data structures into account. The latter is achieved by the use of different covariance structures for a trivariate random effect. The models are applied to data from the INSIDA survey, where interest goes to the effect of covariates on the association between HIV risk perception (quadrinomial with an ‘unknown risk’ category) and HIV infection status (binary). The final model combines continuation-ratio with cumulative link logits for the risk perception, together with partly correlated and partly shared trivariate random effects for the household level. The results indicate that only age has a significant effect on the association between HIV risk perception and infection status. The proposed models may be useful in various fields of application such as social and biomedical sciences, epidemiology and public health. | Notes: | Loquiha, O (reprint author), Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Agoralaan 1, B-3590 Diepenbeek, Belgium. osvaldo.loquiha@uem.mz | Keywords: | bivariate categorical data; continuation-ratio logits; HIV infection status; mixed models; perceived risk of HIV | Document URI: | http://hdl.handle.net/1942/25106 | ISSN: | 0266-4763 | e-ISSN: | 1360-0532 | DOI: | 10.1080/02664763.2017.1391184 | ISI #: | 000434443400004 | Rights: | © 2017 Informa UK Limited, trading as Taylor & Francis Group | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
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Loquiha et al_Joint models for mixed categorical outcomes - Author Version - June 2017.pdf | Peer-reviewed author version | 413.11 kB | Adobe PDF | View/Open |
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