Cargando…
Estimating sensitivity and specificity of diagnostic tests using latent class models that account for conditional dependence between tests: a simulation study
BACKGROUND: Latent class models are increasingly used to estimate the sensitivity and specificity of diagnostic tests in the absence of a gold standard, and are commonly fitted using Bayesian methods. These models allow us to account for ‘conditional dependence’ between two or more diagnostic tests,...
Autores principales: | Keddie, Suzanne H., Baerenbold, Oliver, Keogh, Ruth H., Bradley, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999546/ https://www.ncbi.nlm.nih.gov/pubmed/36894883 http://dx.doi.org/10.1186/s12874-023-01873-0 |
Ejemplares similares
-
Diagnostic performance of the IMMY cryptococcal antigen lateral flow assay on serum and cerebrospinal fluid for diagnosis of cryptococcosis in HIV-negative patients: a systematic review
por: Macrae, Catriona, et al.
Publicado: (2023) -
Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis
por: Jullien, Sophie, et al.
Publicado: (2022) -
Bayesian latent class models to estimate diagnostic test accuracies of COVID‐19 tests
por: Hartnack, Sonja, et al.
Publicado: (2020) -
Estimating the True Accuracy of Diagnostic Tests for Dengue Infection Using Bayesian Latent Class Models
por: Pan-ngum, Wirichada, et al.
Publicado: (2013) -
An Iterative, Frequentist Approach for Latent Class Analysis to Evaluate Conditionally Dependent Diagnostic Tests
por: Schoneberg, Clara, et al.
Publicado: (2021)