# Multivariate generalized linear mixed models for underdispersed count data

@inproceedings{Silva2022MultivariateGL, title={Multivariate generalized linear mixed models for underdispersed count data}, author={Guilherme Parreira da Silva and Henrique Aparecido Laureano and Ricardo Rasmussen Petterle and Paulo Justiniano Ribeiro J'unior and Wagner Hugo Bonat}, year={2022} }

Researchers are often interested in understanding the relationship between a set of covariates and a set of response variables. To achieve this goal, the use of regression analysis, either linear or generalized linear models, is largely applied. However, such models only allow users to model one response variable at a time. Moreover, it is not possible to directly calculate from the regression model a correlation measure between the response variables. In this article, we employed the…

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