| Literature DB >> 35707561 |
Seyede Sedighe Azimi1, Ehsan Bahrami Samani1, Mojtaba Ganjali1.
Abstract
We propose a new model called LogLindley-Binomial and ordinal joint model with random effects for analyzing mixed overdispersed binomial and ordinal longitudinal responses. A new distribution called the LogLindley-Binomial is presented, which is appropriate for the analysis of overdispersed binomial variables. A full likelihood-based approach is used to obtain maximum likelihood estimates. A comparison between LogLindley-Binomial and Beta-Binomial distributions are given by a simulation study. Also, to illustrate the utility of the proposed model, some simulation studies are conducted. In simulation studies, the performances of the LogLindley-Binomial distribution and the proposed model are well in some situations. Also, the new model's performance for analyzing a real dataset, extracted from the British Household Panel Survey, is studied. The proposed model performs well in comparison with another model for analyzing real data. Finally, the proposed distribution and the new model are found to be applicable for analyzing overdispersed binomial and mixed data.Entities:
Keywords: BHPS data; LogLindley-Binomial distribution; latent variable model; maximum likelihood method; overdispersed binomial data
Year: 2021 PMID: 35707561 PMCID: PMC9041728 DOI: 10.1080/02664763.2021.1881455
Source DB: PubMed Journal: J Appl Stat ISSN: 0266-4763 Impact factor: 1.416