Multiple comparisons in categorical data analysis / 南方医科大学学报
Journal of Southern Medical University
; (12): 118-120, 2010.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-269613
Biblioteca responsável:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To discuss the method for multiple comparisons of categorical data and propose an approach to deal with the percentage data.</p><p><b>METHODS</b>The method of multiple comparisons for percentages was verified based on Bonferroni methodology and Monte Carlo method using SAS 9.13 software.</p><p><b>RESULTS</b>The type I error could be enlarged if the statistical tests were conducted without adjustment of the significant level after dividing the data of several categories or percentages into several four-fold tables. For the percentage data, the correction of adjustment of the significant level was the number of pairwise comparison minus one, as supported by the results of Monte Carlo simulation.</p><p><b>CONCLUSION</b>Multiple comparisons of categorical data should be applied appropriately. Multiple comparisons of percentages data need to be conducted with the number of pairwise comparison minus one.</p>
Texto completo:
Disponível
Contexto em Saúde:
Agenda de Saúde Sustentável para as Américas
Problema de saúde:
Objetivo 4: Financiamento para a saúde
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Software
/
Método de Monte Carlo
/
Estatística como Assunto
/
Interpretação Estatística de Dados
/
Modelos Estatísticos
/
Métodos
Tipo de estudo:
Avaliação econômica em saúde
/
Fatores de risco
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Southern Medical University
Ano de publicação:
2010
Tipo de documento:
Artigo