Analysis of periodontal data using mixed effects models
Journal of Periodontal & Implant Science
;
: 2-7, 2015.
Artigo
em Inglês
| WPRIM
| ID: wpr-49425
ABSTRACT
A fundamental problem in analyzing complex multilevel-structured periodontal data is the violation of independency among the observations, which is an assumption in traditional statistical models (e.g., analysis of variance and ordinary least squares regression). In many cases, aggregation (i.e., mean or sum scores) has been employed to overcome this problem. However, the aggregation approach still exhibits certain limitations, such as a loss of power and detailed information, no cross-level relationship analysis, and the potential for creating an ecological fallacy. In order to handle multilevel-structured data appropriately, mixed effects models have been introduced and employed in dental research using periodontal data. The use of mixed effects models might account for the potential bias due to the violation of the independency assumption as well as provide accurate estimates.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Viés
/
Análise dos Mínimos Quadrados
/
Modelos Lineares
/
Interpretação Estatística de Dados
/
Modelos Estatísticos
/
Pesquisa em Odontologia
Tipo de estudo:
Estudo prognóstico
/
Fatores de risco
Idioma:
Inglês
Revista:
Journal of Periodontal & Implant Science
Ano de publicação:
2015
Tipo de documento:
Artigo
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