Comparison of Two Bayesian Methods in Evaluation of the Absence of the Gold Standard Diagnostic Tests.

ABSTRACT:

Objective

The Bayesian model plays an important role in diagnostic test evaluation in the absence of the gold standard, which used the external prior distribution of a parameter combined with sample data to yield the posterior distribution of the test characteristics. However, the correlation between diagnostic tests has always been a problem that cannot be ignored in the Bayesian model evaluation. This study will discuss how different Bayesian model, correlation scenarios, and prior distribution affect the outcome.

Methods

The data analyzed in this study was gathered during studies of patients presenting to the Nanjing Chest Hospital with suspected tuberculosis. The diagnostic character of T-SPOT.Tb and KD38 tuberculosis antibody test were evaluated in different Bayesian mo

SUBMITTER: Li T 

PROVIDER: S-EPMC6720053 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature