Count data can be analyzed using generalized linear mixed models when observations are
correlated in ways that require random effects. However, count data are often zero-inflated …

While Poisson regression serves as a standard tool for modeling the association between a
count response variable and explanatory variables, it is well‐documented that this approach …

Count regression models maintain a steadfast presence in modern applied statistics as
highlighted by their usage in diverse areas like biometry, ecology, and insurance. However …

While the Poisson distribution is a classical statistical model for count data, the distributional
model hinges on the constraining property that its mean equal its variance. This text instead …

Community water fluoridation is an important public health measure to prevent dental caries,
but it continues to be somewhat controversial. The Iowa Fluoride Study (IFS) is a longitudinal …

Aim Dengue fever, caused by the Dengue virus and spread by mosquitoes, is a major public
health concern in many parts of the world, including Bangladesh. Climatic factors, ie …

Although basketball is a dynamic process sport, played between two sides of five players
each, learning some static information is essential for professional players, coaches, and …

Frailty models are generally used to model heterogeneity between the individuals. The
distribution of the frailty variable is often assumed to be continuous. However, there are …

In this paper, we present the Type I multivariate zero‐inflated Conway–Maxwell–Poisson
distribution, whose development is based on the extension of the Type I multivariate zero …

Count data analysis techniques have been developed in biological and medical research
areas. In particular, zero-inflated versions of parametric count distributions have been used …