metasens (0.4-0)

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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) , 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] (<>), James R. Carpenter [aut] (<>), Gerta Rcker [aut] (<>)

License: GPL (>= 2)

Uses: meta

Released 10 months ago.

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Related packages: metaLik, CRTSize, experiment, Hmisc, meta, metafor, rmeta, primePCA, dfcrm, clinsig, CRM,, bcrm, FrF2, biclustermd, rrcovNA, lori, RBtest, psfmi, CopulaDTA(20 best matches, based on common tags.)

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