Work

metabias: Meta-Analysis for Within-Study and/or Across-Study Biases

Year: 2023

Type: dataset

Abstract: Provides common components (classes, methods, documentation) for packages that conduct meta-analytic corrections and sensitivity analyses for within-study and/or across-study biases in meta-analysis. See the packages 'PublicationBias', 'phacking', and 'multibiasmeta'. These package implement methods described in, respectively: Mathur & VanderWeele (2020) <doi:10.31219/osf.io/s9dp6>; Mathur (2022) <doi:10.31219/osf.io/ezjsx>; Mathur (2022) <doi:10.31219/osf.io/u7vcb>.

DOI: 10.32614/cran.package.metabias

Authors: Mika Braginsky, Maya Mathur

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

OpenAlex ID: W4399581730

Cites: 3

Cited by: 1

Related to: 10