Estimating risk and rate ratio in rare events meta-analysis with the Mantel-Haenszel estimator and assessing heterogeneity

DOI10.1515/IJB-2021-0087MaRDI QIDQ6636204

Dankmar Böhning, Heinz Holling, Patarawan Sangnawakij

Publication date: 12 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

rare eventsheterogeneityMantel-Haenszel estimatorparametric bootstrap\(Q\)-statisticsingle- and double-zero studies

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Bootstrap methods: another look at the jackknife
• Investigating heterogeneity in meta-analysis of studies with rare events. Estimating the amount of heterogeneity
• Meta‐analysis of clinical trials with rare events
• Introduction to Meta‐Analysis
• When should meta‐analysis avoid making hidden normality assumptions?
• Meta-Analysis of Rare Binary Adverse Event Data
• Exact Meta-Analysis Approach for Discrete Data and its Application to 2 × 2 Tables With Rare Events
• Comparison of random‐effects meta‐analysis models for the relative risk in the case of rare events: A simulation study
• On the exact null-distribution of a test for homogeneity of the risk ratio in meta-analysis of studies with rare events
• Meta‐analysis of rare events under the assumption of a homogeneous treatment effect
• Meta‐analysis framework for exact inferences with application to the analysis of rare events
• The Combination of Estimates from Different Experiments

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