Confidence interval estimation for the Mantel–Haenszel estimator of the risk ratio and risk difference in rare event meta-analysis with emphasis on the bootstrap-Reference-Cited by-同舟云学术

Confidence interval estimation for the Mantel–Haenszel estimator of the risk ratio and risk difference in rare event meta-analysis with emphasis on the bootstrap

Published:2021-10-24 Issue: Volume: Page:1-25
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Böhning Dankmar¹^ORCID,Sangnawakij Patarawan²^ORCID,Holling Heinz³^ORCID

Affiliation:

1. Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK

2. Department of Mathematics and Statistics, Thammasat University, Pathum Thani, Thailand

3. Statistics and Quantitative Methods, Faculty of Psychology and Sports Science, University of Münster, Münster, Germany

Funder

German Research Foundation

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2021.1991347

Reference42 articles.

1. A Bayesian approach to Markov modelling in cost-effectiveness analyses: application to taxane use in advanced breast cancer

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

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Heterogeneity Measure in Meta-analysis without Study-specific Variance Information;Lobachevskii Journal of Mathematics;2024-02

2. Everything You Wanted to Know but Could Never Find from the Cochran-Mantel-Haenszel Test;Journal of Data Analysis and Information Processing;2023

3. Addressing substantial covariate imbalance with propensity score stratification and balancing weights: connections and recommendations;Epidemiologic Methods;2023-01-01

4. Interpretation and inference for altmetric indicators arising from sparse data statistics;Journal of Informetrics;2022-02