Using observation-level random effects to model overdispersion in count data in ecology and evolution [PDF]
PeerJ, 2014 Overdispersion is common in models of count data in ecology and evolutionary biology, and can occur due to missing covariates, non-independent (aggregated) data, or an excess frequency of zeroes (zero-inflation).
Xavier A. Harrison
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Adjusting for overdispersion in piecewise exponential regression models to estimate excess mortality rate in population-based research [PDF]
BMC Medical Research Methodology, 2016 Background In population-based cancer research, piecewise exponential regression models are used to derive adjusted estimates of excess mortality due to cancer using the Poisson generalized linear modelling framework.
Miguel Angel Luque-Fernandez +5 more
doaj +5 more sources
A comparison of observation-level random effect and Beta-Binomial models for modelling overdispersion in Binomial data in ecology & evolution [PDF]
PeerJ, 2015 Overdispersion is a common feature of models of biological data, but researchers often fail to model the excess variation driving the overdispersion, resulting in biased parameter estimates and standard errors.
Xavier A. Harrison
doaj +6 more sources
ISPRS International Journal of Geo-Information, 2020 Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects.
Jianguo Chen, Lin Liu, Luzi Xiao
exaly +3 more sources
Hierarchical Generalized Linear Models: The R Package HGLMMM [PDF]
Journal of Statistical Software, 2011 The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution.
Marek Molas, Emmanuel Lesaffre
doaj +1 more source
Recommendations for Improving the Modeling of Wintering Waterbird Population Sizes and Trends [PDF]
Ecology and EvolutionBiodiversity monitoring at large spatial and temporal scales is essential for informing conservation policies. The International Waterbird Census (IWC) is one of the longest‐running global citizen science monitoring schemes, providing critical ...
U. Godeau +12 more
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Barekeng, 2023 The research began with calculating the value of multidimensional poverty at the district level in West Java Province from SUSENAS 2021. The calculation of multidimensional poverty was based on individuals in each district or city household.
Satria June Adwendi +2 more
doaj +1 more source
New statistical process control charts for overdispersed count data based on the Bell distribution [PDF]
Anais da Academia Brasileira de Ciências, 2023 Poisson distribution is a popular discrete model used to describe counting information, from which traditional control charts involving count data, such as the c and u charts, have been established in the literature.
LAION L. BOAVENTURA +4 more
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Monitoring overdispersed process in clinical laboratories using control charts
Dyna, 2022 Overdispersion is a phenomenon that generally occurs in the analysis of large sample sizes. In discrete data analysis, it refers to the presence of a variation higher than that implied by a reference Binomial or Poisson distributions.
José I. Valdés-Manuel +1 more
doaj +1 more source
Overdispersed gene expression in schizophrenia [PDF]
npj Schizophrenia, 2020 Abstract Schizophrenia (SCZ) is a severe, highly heterogeneous psychiatric disorder with varied clinical presentations. The polygenic genetic architecture of SCZ makes identification of causal variants a daunting task.
Guangzao Huang +4 more
openaire +2 more sources