A double SIMEX approach for bivariate random-effects meta-analysis of diagnostic accuracy studies

BACKGROUND: Bivariate random-effects models represent a widely accepted and recommended approach for meta-analysis of test accuracy studies. Standard likelihood methods routinely used for inference are prone to several drawbacks. Small sample size can give rise to unreliable inferential conclusions...

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Detalles Bibliográficos
Autor principal: Guolo, Annamaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225626/
https://www.ncbi.nlm.nih.gov/pubmed/28077079
http://dx.doi.org/10.1186/s12874-016-0284-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225626/
https://www.ncbi.nlm.nih.gov/pubmed/28077079
http://dx.doi.org/10.1186/s12874-016-0284-2

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