metasens (0.4-0)

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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) ; - imputation methods for missing binary data by Gamble & Hollis (2005) and Higgins et al. (2008) .

Maintainer: Guido Schwarzer
Author(s): Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>), James R. Carpenter [aut] (<https://orcid.org/0000-0003-3890-6206>), Gerta Rcker [aut] (<https://orcid.org/0000-0002-2192-2560>)

License: GPL (>= 2)

Uses: meta

Released 4 months ago.


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Related packages: metaLik, CRTSize, meta, metafor, rmeta, dfcrm, clinsig, CRM, conf.design, bcrm, FrF2, CopulaDTA, catmap, AGSDest, asd, bamdit, asypow, binomSamSize, blockrand, clinfun(20 best matches, based on common tags.)


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