A new mixed-effects regression model for the analysis of zero-modified hierarchical count data.

Bertoli, Wesley; Conceição, Katiane S; Andrade, Marinho G; Louzada, Francisco

Bertoli, Wesley; Conceição, Katiane S; Andrade, Marinho G; Louzada, Francisco.

Afiliación

Bertoli W; Department of Statistics, Federal University of Technology - Paraná, Curitiba, Brazil.
Conceição KS; Department of Applied Mathematics and Statistics, Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.
Andrade MG; Department of Applied Mathematics and Statistics, Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.
Louzada F; Department of Applied Mathematics and Statistics, Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.

Biom J ; 63(1): 81-104, 2021 01.

Article en En | MEDLINE | ID: mdl-33073871

Asunto(s)

Modelos Estadísticos; Teorema de Bayes; Análisis por Conglomerados; Simulación por Computador; Método de Montecarlo; Distribución de Poisson

Palabras clave

Monte Carlo simulation; approximate Bayesian inference; mixed-effects hurdle model; overdispersion; repeated measures; zero-modified count data

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos Tipo de estudio: Clinical_trials / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biom J Año: 2021 Tipo del documento: Article País de afiliación: Brasil

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