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Synthesis of evidence from zero‐events studies: A comparison of one‐stage framework methods by Chang Xu; Luis Furuya‐Kanamori; Lifeng Lin is a Decision Sciences article available to read on EtoBox.

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## Abstract In evidence synthesis, dealing with zero‐events studies is an important and complicated task that has generated broad discussion. Numerous methods provide valid solutions to synthesizing data from studies with zero‐events, either based on a frequentist or a Bayesian framework. Among frequentist frameworks, the one‐stage methods have their unique advantages to deal with zero‐events studies, especially for double‐arm‐zero‐events. In this article, we give a concise overview of the one‐stage frequentist methods. We conducted simulation studies to compare the statistical properties of these methods to the two‐stage frequentist method (continuity correction) for meta‐analysis with zero‐events studies when double‐zero‐events studies were included. Our simulation studies demonstrated that the generalized estimating equation with unstructured correlation and beta‐binomial method had the best performance among the one‐stage methods. The random intercepts generalized linear mixed model showed good performance in the absence of obvious between‐study variance. Our results also showed that the continuity correction with inverse‐variance heterogeneous (IVhet) analytic model based on t

Who reads Synthesis of evidence from zero‐events studies: A comparison of one‐stage framework methods?

Author

Chang Xu; Luis Furuya‐Kanamori; Lifeng Lin

Publisher

Wiley

Published

2021

Language

EN

Field

Decision Sciences (Social Sciences)