Negative binomial modelling is one of the most commonly used statistical tools for analysing
count data in ecology and biodiversity research. This is not surprising given the prevalence …

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 …

Reproduction by individuals is typically recorded as count data (eg, number of fledglings
from a nest or inflorescences on a plant) and commonly modeled using Poisson or negative …

Background In hospitalised patients with exacerbation of Chronic Obstructive Pulmonary
Disease, European and British guidelines endorse oxygen target saturations of 88%–92 …

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 …

Managing road verges to promote diverse and flower-rich plant communities has been
proposed to mitigate the decline of pollinating insects caused by the loss of natural and semi …

Understanding the determinants of forest understory diversity provides a theoretical basis for
sustainable management practices. Our study aimed to identify the dominant factors …

Deserts are often highly biodiverse and provide important habitats for many threatened
species. Fire is a dominant disturbance in deserts, and prescribed burning is increasingly …

Count data naturally arise in several areas of cognitive ability testing, such as processing
speed, memory, verbal fluency, and divergent thinking. Contemporary count data item …