Approaches for dealing with various sources of overdispersion in modeling count data: Scale adjustment versus modeling.

Payne, Elizabeth H; Hardin, James W; Egede, Leonard E; Ramakrishnan, Viswanathan; Selassie, Anbesaw; Gebregziabher, Mulugeta

Payne, Elizabeth H; Hardin, James W; Egede, Leonard E; Ramakrishnan, Viswanathan; Selassie, Anbesaw; Gebregziabher, Mulugeta.

Afiliación

Payne EH; 1 Department of Public Health Sciences - Biostatistics, Medical University of South Carolina, Charleston, SC, USA.
Hardin JW; 2 Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, SC, USA.
Egede LE; 3 Division of Biostatistics, Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.
Ramakrishnan V; 1 Department of Public Health Sciences - Biostatistics, Medical University of South Carolina, Charleston, SC, USA.
Selassie A; 2 Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, SC, USA.
Gebregziabher M; 1 Department of Public Health Sciences - Biostatistics, Medical University of South Carolina, Charleston, SC, USA.

Stat Methods Med Res ; 26(4): 1802-1823, 2017 Aug.

Article en En | MEDLINE | ID: mdl-26031359

Asunto(s)

Modelos Estadísticos; Distribución de Poisson; Análisis de Regresión; Anciano; Teorema de Bayes; Femenino; Humanos; Modelos Lineales; Neoplasias Pulmonares/diagnóstico por imagen; Neoplasias Pulmonares/mortalidad; Masculino; Persona de Mediana Edad; Salmonella/efectos de los fármacos

Palabras clave

Count data; Poisson; generalized linear mixed model; negative-binomial; overdispersion

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Distribución de Poisson / Análisis de Regresión / Modelos Estadísticos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Stat Methods Med Res Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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