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NMAoutlier: Detecting Outliers in Network Meta-Analysis
A set of functions providing several outlier (i.e., studies with extreme findings) and influential detection measures and methodologies in network meta-analysis : - simple outlier and influential detection measures - outlier and influential detection measures by considering study deletion (shift the mean) - plots for outlier and influential detection measures - Q-Q plot for network meta-analysis - Forward Search algorithm in network meta-analysis. - forward plots to monitor statistics in each step of the forward search algorithm - forward plots for summary estimates and their confidence intervals in each step of forward search algorithm.
Getting started
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Package details |
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| Author | Maria Petropoulou [aut, cre] (<https://orcid.org/0000-0002-7147-3644>), Guido Schwarzer [aut] (<https://orcid.org/0000-0001-6214-9087>), Agapios Panos [aut], Dimitris Mavridis [aut] (<https://orcid.org/0000-0003-1041-4592>) |
| Maintainer | Maria Petropoulou <petropoulou@imbi.uni-freiburg.de> |
| License | GPL (>= 2) |
| Version | 0.1.18 |
| URL | https://github.com/petropouloumaria/NMAoutlier |
| Package repository | View on CRAN |
| Installation |
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