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http://hdl.handle.net/1942/16620
Title: | Modeling multivariate, overdispersed binomial data with additive and multiplicative random effects | Authors: | DEL FAVA, Emanuele SHKEDY, Ziv AREGAY, Mehreteab MOLENBERGHS, Geert |
Issue Date: | 2014 | Source: | Statistical modelling, 14 (2), p. 99-133 | Abstract: | Often, when modeling longitudinal binomial data, one needs to take into consideration both clustering and overdispersion. When the primary interest is in accommodating both phenomena, we can use separate sets of random effects that capture the within-cluster association and the extra variability due to overdispersion. In this paper, we propose a series of hierarchical Bayesian generalized linear mixed models that deal simultaneously with both phenomena. The proposed models are applied to a sample of multivariate data on hepatitis C virus (HCV) and human immunodeficiency virus (HIV) infection prevalence in injecting drug users in Italy from 1998 to 2007. | Notes: | Del Fava, E (reprint author),Bocconi Univ, Carlo F Dondena Ctr Res Social Dynam, Via Gugliemo Rontgen 1, I-20136 Milan, Italy, emanuele.delfava@unibocconi.it | Keywords: | binomial data; clustering; generalized linear mixed models; MCMC; overdispersion. | Document URI: | http://hdl.handle.net/1942/16620 | ISSN: | 1471-082X | e-ISSN: | 1477-0342 | DOI: | 10.1177/1471082X13503450 | ISI #: | 000334290800001 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2015 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Stat_Mod_paper_overdispersion_06_08.pdf | Peer-reviewed author version | 1.86 MB | Adobe PDF | View/Open |
Stat_Mod_supp_mat_overdispersion.pdf | Supplementary material | 1.43 MB | Adobe PDF | View/Open |
15913.pdf Restricted Access | Published version | 1.15 MB | Adobe PDF | View/Open Request a copy |
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