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boutliers: Outlier Detection and Influence Diagnostics for Meta-Analysis
Computational tools for outlier detection and influence diagnostics in meta-analysis (Noma et al. (2025) <doi:10.1101/2025.09.18.25336125>). Bootstrap distributions of influence statistics are computed, and explicit thresholds for identifying outliers are provided. These methods can also be applied to the analysis of influential centers or regions in multicenter or multiregional clinical trials (Aoki and Noma (2021) <doi:10.1080/24709360.2021.1921944>, Nakamura and Noma (2021) <doi:10.5691/jjb.41.117>).
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Package details |
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| Author | Hisashi Noma [aut, cre], Kazushi Maruo [aut], Masahiko Gosho [aut] |
| Maintainer | Hisashi Noma <noma@ism.ac.jp> |
| License | GPL-3 |
| Version | 2.1-2 |
| Package repository | View on CRAN |
| Installation |
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