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stat.ME2021
A flexible Bayesian non-confounding spatial model for analysis of dispersed count data in clinical studies
Mahsa Nadifar, Hossein Baghishani, Afshin Fallah
In employing spatial regression models for counts, we usually meet two issues. First, ignoring the inherent collinearity between covariates and the spatial effect would lead to cau…
stat.ME2021★ 2 cited
Flexible Bayesian Modeling of Counts: Constructing Penalized Complexity Priors
Mahsa Nadifar, Hossein Baghishani, Thomas Kneib +1
Many of the data, particularly in medicine and disease mapping are count. Indeed, the under or overdispersion problem in count data distrusts the performance of the classical Poiss…