Description: 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>.

Description: 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':
- 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>.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>),

Title: Statistical Methods for Sensitivity Analysis in Meta-Analysis
- 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>.

Title: Fit and test metaregression models
Author: Hilde M. Huizenga & Ingmar Visser
Description: This package fits meta regression models and generates a
number of statistics: next to t- and z-tests, the likelihood ratio,
bartlett corrected likelihood ratio and permutation tests are

number of statistics: next to t- and z-tests, the likelihood
ratio, bartlett corrected likelihood ratio and permutation
tests are performed on the model coefficients.

Title: Fit and Test Metaregression Models
Description: Fits and tests meta regression models and generates a
number of useful test statistics: next to t- and z-tests, the likelihood ratio,
bartlett corrected likelihood ratio and permutation tests are performed on