c(person("Guido", "Schwarzer",
role = c("cre", "aut"),
email = "sc@imbi.uni-freiburg.de",
comment = c(ORCID = "0000-0001-6214-9087")),
person("James R.","Carpenter",
role = "aut",
comment = c(ORCID = "0000-0003-3890-6206")),
person("Gerta","Rücker",
role = "aut",
comment = c(ORCID = "0000-0002-2192-2560")))
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>.

Statistical Methods for Sensitivity Analysis 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>;
- 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>.

This package fits meta regression models and generates a
next to t- and z-tests, the likelihood ratio,
bartlett corrected likelihood ratio and permutation tests are
performed on the model coefficients.