A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies

A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies

ObjectiveIn evidence synthesis practice, researchers often face the problem of how to deal with zero-events. Inappropriately dealing with zero-events studies may lead to research waste and mislead healthcare practice. We propose a framework to guide researchers to better deal with zero-events in met...

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Bibliographic Details
Main Author: Chang, Xu (author)
Other Authors: Furuya-Kanamori, Luis (author), Zorzela, Liliane (author), Lin, Lifeng (author), Vohra, Sunita (author)
Format: article
Published: 2021
Subjects:
meta-analysis
zero-events studies
classification framework
guideline
Online Access:http://dx.doi.org/10.1016/j.jclinepi.2021.02.012
https://www.sciencedirect.com/science/article/pii/S0895435621000494?v=s5
http://hdl.handle.net/10576/17795
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http://dx.doi.org/10.1016/j.jclinepi.2021.02.012
https://www.sciencedirect.com/science/article/pii/S0895435621000494?v=s5
http://hdl.handle.net/10576/17795

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