Advanced statistical methods to model and adjust for bias in meta-analysis. More standard methods, i.e. tests for bias in meta-analysis and the trim-and-fill method are provided in R package meta. Main purpose of these methods is to evaluate how sensitive the result of a meta-analysis is to potential bias in meta-analysis. The following methods are available:
- Copas selection model;
- limit meta-analysis;
- upper bound for outcome reporting bias.
| Version: |
0.1-0 |
| Depends: |
meta (≥ 0.8) |
| Published: |
2014-06-24 |
| Author: |
Guido Schwarzer [aut, cre],
James Carpenter [aut],
Gerta Rücker [aut] |
| Maintainer: |
Guido Schwarzer <sc at imbi.uni-freiburg.de> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
ClinicalTrials, MetaAnalysis |
| CRAN checks: |
metasens results |