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

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Abstract

Many routinely used summary methods provide widely ranging estimates when applied to sparse data with high imbalance between the size of the studies' arms. A sensitivity analysis using several methods and continuity correction factors is advocated for routine practice.

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