Bayesian models as a unified approach to estimate relative risk (or prevalence ratio) in binary and polytomous outcomes.

Torman, Vanessa Bielefeldt Leotti; Camey, Suzi Alves

Torman, Vanessa Bielefeldt Leotti; Camey, Suzi Alves.

Afiliación

Torman VB; Department of Statistics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS Brazil ; Post-Graduate Program in Epidemiology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS Brazil.
Camey SA; Department of Statistics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS Brazil ; Post-Graduate Program in Epidemiology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS Brazil.

Emerg Themes Epidemiol ; 12: 8, 2015.

Article en En | MEDLINE | ID: mdl-26097494

Palabras clave

Bayesian models; Common outcomes; Dependent data; Polytomous outcomes; Prevalence ratio; Relative risk

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Idioma: En Revista: Emerg Themes Epidemiol Año: 2015 Tipo del documento: Article Pais de publicación: Reino Unido

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