Skip to content

guido-s/metasens

Folders and files

NameName
Last commit message
Last commit date
Mar 31, 2023
Mar 16, 2025
Jul 2, 2019
Mar 16, 2025
Jul 29, 2024
Mar 16, 2025
Jul 20, 2016
Jun 4, 2013
Mar 16, 2025
Jan 28, 2022
Mar 16, 2025
Sep 9, 2024
Mar 31, 2023

Repository files navigation

metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis

Official Git repository of R package metasens

License: GPL (>=2) CRAN Version GitHub develop Monthly Downloads Total Downloads

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), Chapter 5 "Small-Study Effects in Meta-Analysis":

  • Copas selection model (Copas and Shi, 2001; Schwarzer et al., 2010);
  • limit meta-analysis (Rücker et al., 2011);
  • upper bound for outcome reporting bias (Copas and Jackson, 2004);
  • imputation methods for missing binary data (Gamble & Hollis, 2005; Higgins et al., 2008).
  • LFK index test and Doi plot (Furuya-Kanamori et al., 2018).

Furthermore, R package metasens provides functions and datasets to support Schwarzer et al. (2015), Chapter 5 "Small-Study Effects in Meta-Analysis", https://link.springer.com/book/10.1007/978-3-319-21416-0 .

References

Copas J, Jackson D (2004): A bound for publication bias based on the fraction of unpublished studies. Biometrics, 60, 146-53

Copas JB, Shi JQ (2001): A sensitivity analysis for publication bias in systematic reviews. Statistical Methods in Medical Research, 10, 251-65

Furuya-Kanamori L, Barendregt JJ, Doi S (2018): A new improved graphical and quantitative method for detecting bias in meta-analysis. International Journal of Evidence-Based Healthcare, 16, 195-203

Gamble C, Hollis S (2005): Uncertainty method improved on best–worst case analysis in a binary meta-analysis. Journal of Clinical Epidemiology, 58, 579-88

Higgins JPT, White IR, Wood AM (2008): Imputation methods for missing outcome data in meta-analysis of clinical trials. Clinical Trials, 5, 225-39

Rücker G, Schwarzer G, Carpenter JR, Binder H, Schumacher M (2011): Treatment-effect estimates adjusted for small-study effects via a limit meta-analysis. Biostatistics, 12, 122-42

Schwarzer G, Carpenter J, Rücker G (2010): Empirical evaluation suggests Copas selection model preferable to trim-and-fill method for selection bias in meta-analysis. Journal of Clinical Epidemiology, 63, 282-88

Schwarzer G, Carpenter JR and Rücker G (2015): Meta-Analysis with R (Use-R!). Springer International Publishing, Switzerland

Installation

Current official CRAN Version release:

install.packages("metasens")

Current GitHub develop release on GitHub:

Installation using R package remotes:

install.packages("remotes")
remotes::install_github("guido-s/metasens")

Bug Reports:

You can report bugs on GitHub under Issues.

or using the R command

bug.report(package = "metasens")

(which is not supported in RStudio).