Package: multibiasmeta 0.2.2

Peter Solymos

multibiasmeta: Sensitivity Analysis for Multiple Biases in Meta-Analyses

Meta-analyses can be compromised by studies' internal biases (e.g., confounding in nonrandomized studies) as well as by publication bias. This package conducts sensitivity analyses for the joint effects of these biases (per Mathur (2022) <doi:10.31219/osf.io/u7vcb>). These sensitivity analyses address two questions: (1) For a given severity of internal bias across studies and of publication bias, how much could the results change?; and (2) For a given severity of publication bias, how severe would internal bias have to be, hypothetically, to attenuate the results to the null or by a given amount?

Authors:Maya Mathur [aut], Mika Braginsky [aut], Peter Solymos [cre, ctb]

multibiasmeta_0.2.2.tar.gz
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multibiasmeta.pdf |multibiasmeta.html
multibiasmeta/json (API)
NEWS

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

Bug tracker:https://github.com/mathurlabstanford/multibiasmeta/issues

Pkgdown site:https://mathurlabstanford.github.io

Datasets:
  • meta_meat - Meta-analysis about meat consumption

On CRAN:

Conda:

4.00 score 6 scripts 207 downloads 2 exports 49 dependencies

Last updated 2 years agofrom:64e328a7fa. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winOKMar 13 2025
R-4.5-macOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-winOKMar 13 2025
R-4.4-macOKMar 13 2025
R-4.4-linuxOKMar 13 2025
R-4.3-winOKMar 13 2025
R-4.3-macOKMar 13 2025

Exports:multibias_evaluemultibias_meta

Dependencies:bootclicolorspacecpp11digestdplyrEValuefansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetabiasmetadatmetaforMetaUtilitymgcvmunsellnlmenumDerivpbapplypillarpkgconfigpurrrR6rbibutilsRColorBrewerRdpackrlangrobumetascalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Metabias packages tutorial

Rendered fromtutorial.Rmdusingknitr::rmarkdownon Mar 13 2025.

Last update: 2023-08-21
Started: 2023-01-13