Mixed-effects modelling for crossed and nested data: an analysis of dengue fever in the state of Goiás, Brazil.

Oliveira, A N; Menezes, R; Faria, S; Afonso, P

Oliveira, A N; Menezes, R; Faria, S; Afonso, P.

Afiliación

Oliveira AN; Informatics Department, Instituto Federal Goiano, Ipameri, Brazil.
Menezes R; Department of Mathematics and Applications, Centre of Molecular and Environmental Biology, Minho University, Guimarães, Portugal.
Faria S; Department of Mathematics and Applications, Centre of Molecular and Environmental Biology, Minho University, Guimarães, Portugal.
Afonso P; Department of Mathematics and Applications, Centre of Molecular and Environmental Biology, Minho University, Guimarães, Portugal.

J Appl Stat ; 47(13-15): 2912-2926, 2020.

Article en En | MEDLINE | ID: mdl-35707421

Palabras clave

Mixed-effects model; climate; dengue; nested random-effects; space and time random-effects

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: J Appl Stat Año: 2020 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido

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