Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)The sensitivity (S(e)) and the specificity (S(p)) are the two most common measures of the performance of a diagnostic test, where Se is the probability of a diseased individual to be correctly identified by the test while Sp is the probability of a healthy individual to be correctly identified by the same test. A problem appears when all individuals cannot be verified by a gold standard. This occurs when there is not a definitive test for detection of the disease or the verification by a gold standard is an impracticable procedure according to its cost, accessibility or risks. In this paper we develop a Bayesian a...
AIMS: To present a new approach for estimating the "true prevalence" of malaria and apply it to data...
AIMS: To present a new approach for estimating the "true prevalence" of malaria and apply it to data...
Aims: To present a new approach for estimating the "true prevalence'' of malaria and apply it to dat...
It is common in population screening surveys or in the investigation of new diagnostic tests to have...
The simpler screening tests applied to detect disease instead of the more elaborated, usually result...
Abstract: Since most secreening tests are not 100 % accurate, the proportion of subjects screened po...
In this paper, we introduce a Bayesian analysis to estimate the prevalence and performance test para...
We propose a new general Bayesian latent class model for evaluation of the performance of multiple d...
Diagnostic testing is used by biosecurity officers for the detection and identification of plant and...
Sensitivity and specificity are measures that allow us to evaluate the performance of a diagnostic t...
The application of a gold standard reference test in all or part of the sample under investigation i...
• Bayesian latent-class models have been widely applied for assessing the performance of diagnostic ...
To evaluate the probabilities of a disease state, ideally all subjects in a study should be diagnose...
Bayesian sample size estimation for equivalence and non-inferiority tests for diagnostic methods is ...
Nesta tese propomos duas novas abordagens bayesianas para testes de hipóteses de equivalência para p...
AIMS: To present a new approach for estimating the "true prevalence" of malaria and apply it to data...
AIMS: To present a new approach for estimating the "true prevalence" of malaria and apply it to data...
Aims: To present a new approach for estimating the "true prevalence'' of malaria and apply it to dat...
It is common in population screening surveys or in the investigation of new diagnostic tests to have...
The simpler screening tests applied to detect disease instead of the more elaborated, usually result...
Abstract: Since most secreening tests are not 100 % accurate, the proportion of subjects screened po...
In this paper, we introduce a Bayesian analysis to estimate the prevalence and performance test para...
We propose a new general Bayesian latent class model for evaluation of the performance of multiple d...
Diagnostic testing is used by biosecurity officers for the detection and identification of plant and...
Sensitivity and specificity are measures that allow us to evaluate the performance of a diagnostic t...
The application of a gold standard reference test in all or part of the sample under investigation i...
• Bayesian latent-class models have been widely applied for assessing the performance of diagnostic ...
To evaluate the probabilities of a disease state, ideally all subjects in a study should be diagnose...
Bayesian sample size estimation for equivalence and non-inferiority tests for diagnostic methods is ...
Nesta tese propomos duas novas abordagens bayesianas para testes de hipóteses de equivalência para p...
AIMS: To present a new approach for estimating the "true prevalence" of malaria and apply it to data...
AIMS: To present a new approach for estimating the "true prevalence" of malaria and apply it to data...
Aims: To present a new approach for estimating the "true prevalence'' of malaria and apply it to dat...