Accurate confidence intervals for risk difference in meta-analysis with rare events

Accurate confidence intervals for risk difference in meta-analysis with rare events

Abstract Background Meta-analysis provides a useful statistical tool to effectively estimate treatment effect from multiple studies. When the outcome is binary and it is rare (e.g., safety data in clinical trials), the traditionally used methods may have unsatisfactory performance. Methods We propos...

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Bibliographic Details
Main Authors: Tao Jiang, Baixin Cao, Guogen Shan
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medical Research Methodology
Subjects:
Binary outcome
Confidence interval
Importance sampling
Meta-analysis
Rare events
Online Access:http://link.springer.com/article/10.1186/s12874-020-00954-8

Internet

http://link.springer.com/article/10.1186/s12874-020-00954-8

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