What question did this study set out to answer?

This research aims to examine the effects of using continuity corrections in meta-analyses of sparse data.

What to add to nothing? Use and avoidance of continuity corrections in meta‐analysis of sparse data

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Sensitivity analysis evaluates the impact of continuity corrections on estimates in sparse data meta-analyses, suggesting best practices.

This research aims to examine the effects of using continuity corrections in meta-analyses of sparse data.
Conducted sensitivity analysis using various summary methods and continuity correction factors.
Evaluated imbalances between study arm sizes to determine estimation impact.
Spanning estimates varied significantly with and without continuity corrections.
Sensitivity analysis highlights the importance of choosing appropriate methods for accurate results.

Sweeting et al. (2004) studied this question.

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