Package: metasens 1.6-0

metasens: 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>.

Authors:Guido Schwarzer [cre, aut], James R. Carpenter [aut], Gerta Rücker [aut]

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NEWS

# Install 'metasens' in R:
install.packages('metasens', repos = c('https://guido-s.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/guido-s/metasens/issues

Datasets:

On CRAN:

adjustmentmeta-analysispublication-biasrstudio

15 exports 8 stars 3.16 score 48 dependencies 14 mentions 48 scripts 1.8k downloads

Last updated 9 days agofrom:af832b408c. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winNOTESep 09 2024
R-4.5-linuxNOTESep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:copasdoiplotforest.orbboundfunnel.limitmetalfkindexlimitmetametamissorbboundplot.copasprint.copasprint.lfkindexprint.orbboundprint.summary.copassummary.copassummary.limitmeta

Dependencies:bitbit64bootclicliprCompQuadFormcpp11crayondplyrfansigenericsgluehmslatticelifecyclelme4magrittrMASSmathjaxrMatrixmetametadatmetaforminqanlmenloptrnumDerivpbapplypillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangstringistringrtibbletidyselecttzdbutf8vctrsvroomwithrxml2