Bayesian sample-size determination for inference on two binomial populations with no gold standard classifier.
Stat Med
; 24(19): 2963-76, 2005 Oct 15.
Article
em En
| MEDLINE
| ID: mdl-16007574
ABSTRACT
We consider the impact of test properties on the required sample size for the Bayesian design problem for comparing two proportions with error-prone data. Specifically, we examine four cases a single diagnostic test and two independent diagnostic tests, both when the test properties are identical across populations and when they differ. Interval-based and moment-based sample-size determination criteria are contrasted using Monte Carlo simulation methods. We consider an application in which Strongyloides infections are compared in two populations.
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Base de dados:
MEDLINE
Assunto principal:
Modelos Estatísticos
/
Teorema de Bayes
/
Tamanho da Amostra
Idioma:
En
Ano de publicação:
2005
Tipo de documento:
Article