A new mixed‐effects regression model for the analysis of zero‐modified hierarchical count data
Author:
Affiliation:
1. Department of Statistics Federal University of Technology ‐ Paraná Curitiba Brazil
2. Department of Applied Mathematics and Statistics Institute of Mathematical and Computer Sciences University of São Paulo São Carlos Brazil
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação de Amparo à Pesquisa do Estado de São Paulo
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000046
Reference83 articles.
1. Statistical analysis for longitudinal counting data in the presence of a covariate considering different “frailty” models;Achcar J. A.;Brazilian Journal of Probability and Statistics,2008
2. Two-part regression models for longitudinal zero-inflated count data
3. A weighted negative binomial Lindley distribution with applications to dispersed data
4. Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage;Barnard J.;Statistica Sinica,2000
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