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Related Experiment Video

Updated: Jul 9, 2026

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

An exact test for meta-analysis with binary endpoints.

O Kuss¹, C Gromann

¹Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 27, 06097 Halle (Saale), Germany. Oliver.Kuss@medizin.uni-halle.de

Methods of Information in Medicine

|December 11, 2007

Summary

The asymptotic Mantel-Haenszel (MH) procedure is sufficient for meta-analysis with sparse data, outperforming exact MH and standard methods. Standard fixed and random effects models perform poorly in sparse data situations.

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Last Updated: Jul 9, 2026

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

Area of Science:

Biostatistics
Medical Research Methodology

Background:

Meta-analysis of binary endpoints, particularly for safety or adverse events, often involves sparse data.
Traditional methods like fixed-effects and random-effects models may be suboptimal in such scenarios.

Purpose of the Study:

To reintroduce and evaluate an exact Mantel-Haenszel (MH) procedure for meta-analysis with binary endpoints, especially in sparse data.
To compare the performance of the exact MH procedure against the asymptotic MH procedure and standard fixed/random effects models.

Main Methods:

A simulation study was conducted to assess the empirical size and power of different meta-analysis procedures.
The performance comparison included the exact MH, asymptotic MH, fixed-effects, and random-effects models.
Methods were illustrated using a meta-analysis of stroke occurrence after coronary artery bypass grafting (CABG) surgery.

Main Results:

The asymptotic MH procedure demonstrated superior performance across most evaluated situations.
Standard fixed-effects and random-effects models exhibited poor results regarding statistical power and size, especially with sparse data.
The exact MH procedure did not consistently outperform the asymptotic version.

Conclusions:

The asymptotic MH procedure is generally sufficient for meta-analyses with binary endpoints, even in sparse data.
The exact MH procedure is not necessary for most practical applications.
Standard fixed-effects and random-effects models are not recommended for meta-analyses involving sparse data.