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) 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; - imputation methods for missing binary data by Gamble & Hollis (2005) doi:10.1016/j.jclinepi.2004.09.013 and Higgins et al. (2008) doi:10.1177/1740774508091600; - LFK index test and Doi plot by Furuya-Kanamori et al. (2018) doi:10.1097/XEB.0000000000000141.

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