metasens: Advanced Statistical Methods to Model and Adjust for Bias in Meta-Analysis

The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 5 "Small-Study Effects in Meta-Analysis": - Copas selection model described in Copas & Shi (2001) <DOI:10.1177/096228020101000402>; - limit meta-analysis by Rücker et al. (2011) <DOI:10.1093/biostatistics/kxq046>; - upper bound for outcome reporting bias by Copas & Jackson (2004) <DOI:10.1111/j.0006-341X.2004.00161.x>.

AuthorGuido Schwarzer [aut, cre], James Carpenter [aut], Gerta Rücker [aut]
Date of publication2016-10-15 18:52:03
MaintainerGuido Schwarzer <sc@imbi.uni-freiburg.de>
LicenseGPL (>= 2)
Version0.3-1
https://github.com/guido-s/metasens http://meta-analysis-with-r.org

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