2 papers
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.ME2019
Statistical modeling of groundwater quality assessment in Iran using a flexible Poisson likelihood
Mahsa Nadifar, Hossein Baghishani, Afshin Fallah +1
Assessing water quality and recognizing its associated risks to human health and the broader environment is undoubtedly essential. Groundwater is widely used to supply water for dr…