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,...

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Detalles Bibliográficos
Autores principales: Keddie, Suzanne H., Baerenbold, Oliver, Keogh, Ruth H., Bradley, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

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