%0 Journal Article
%T Extended negative binomial hurdle models
%A Maengseok Noh
%A Youngjo Lee
%J Statistical Methods in Medical Research
%@ 1477-0334
%D 2019
%R 10.1177/0962280218766567
%X Poisson models are widely used for statistical inference on count data. However, zero-inflation or zero-deflation with either overdispersion or underdispersion could occur. Currently, there is no available model for count data, that allows excessive occurrence of zeros along with underdispersion in non-zero counts, even though there have been reported necessity of such models. Furthermore, given an excessive zero rate, we need a model that allows a larger degree of overdispersion than existing models. In this paper, we use a random-effect model to produce a general statistical model for accommodating such phenomenon occurring in real data analyses
%K Excessive zeros
%K hierarchical generalized linear model
%K Poisson hurdle model
%K underdispersion
%K zero-inflated Poisson model
%U https://journals.sagepub.com/doi/full/10.1177/0962280218766567