Package: PublicationBias 2.4.0

Peter Solymos

PublicationBias: Sensitivity Analysis for Publication Bias in Meta-Analyses

Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [<doi:10.31219/osf.io/s9dp6>]). These analyses enable statements such as: "For publication bias to shift the observed point estimate to the null, 'significant' results would need to be at least 30-fold more likely to be published than negative or 'nonsignificant' results." Comparable statements can be made regarding shifting to a chosen non-null value or shifting the confidence interval. Provides a worst-case meta-analytic point estimate under maximal publication bias obtained simply by conducting a standard meta-analysis of only the negative and "nonsignificant" studies.

Authors:Mika Braginsky [aut], Maya Mathur [aut], Tyler J. VanderWeele [aut], Peter Solymos [cre, ctb]

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NEWS

Peer review:

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

On CRAN:

6 exports 1.59 score 40 dependencies 3 mentions 10 scripts 235 downloads

Last updated 1 years agofrom:748b33e9c7. Checks:OK: 7. Indexed: yes.

Exports:corrected_metapubbias_metapubbias_svaluepval_plotsignificance_funnelsvalue

Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetabiasmetadatmetaformgcvmunsellnlmenumDerivpbapplypillarpkgconfigR6rbibutilsRColorBrewerRdpackrlangrobumetascalestibbletidyselectutf8vctrsviridisLitewithr