metasens (0.3-1)

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

https://github.com/guido-s/metasens http://meta-analysis-with-r.org
http://cran.r-project.org/web/packages/metasens

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) , Chapter 5 "Small-Study Effects in Meta-Analysis": - Copas selection model described in Copas & Shi (2001) ; - limit meta-analysis by Rcker et al. (2011) ; - upper bound for outcome reporting bias by Copas & Jackson (2004) .

Maintainer: Guido Schwarzer
Author(s): Guido Schwarzer [aut, cre], James Carpenter [aut], Gerta Rcker [aut]

License: GPL (>= 2)

Uses: meta

Released 7 months ago.


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