Tests for publication bias are unreliable in case of heteroscedasticity

Regression based methods for the detection of publication bias in meta-analysis have been extensively evaluated in literature. When dealing with continuous outcomes, specific hidden factors (e.g., heteroscedasticity) may interfere with the test statistics. In this paper we investigate the influence...

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Detalles Bibliográficos
Autores principales: Almalik, Osama, Zhan, Zhuozhao, van den Heuvel, Edwin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209747/
https://www.ncbi.nlm.nih.gov/pubmed/34179565
http://dx.doi.org/10.1016/j.conctc.2021.100781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209747/
https://www.ncbi.nlm.nih.gov/pubmed/34179565
http://dx.doi.org/10.1016/j.conctc.2021.100781

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