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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "MAIVE" in publications use:'
type: software
license: MIT
title: 'MAIVE: Meta Analysis Instrumental Variable Estimator'
version: 0.0.2.11
doi: 10.32614/CRAN.package.MAIVE
abstract: Meta-analysis traditionally assigns more weight to studies with lower standard
  errors, assuming higher precision. However, in observational research, precision
  must be estimated and is vulnerable to manipulation, such as p-hacking, to achieve
  statistical significance. This can lead to spurious precision, invalidating inverse-variance
  weighting and bias-correction methods like funnel plots. Common methods for addressing
  publication bias, including selection models, often fail or exacerbate the problem.
  This package introduces an instrumental variable approach to limit bias caused by
  spurious precision in meta-analysis.
authors:
- family-names: Irsova
  given-names: Zuzana
  affiliation: Charles University
- family-names: Bom
  given-names: Pedro R. D.
  affiliation: University of Deusto
- family-names: Havranek
  given-names: Tomas
- family-names: Rachinger
  given-names: Heiko
  email: heiko.rachinger@uib.es
  affiliation: University of the Balearic Islands
repository: https://meta-analysis-es.r-universe.dev
commit: 60956c4a5a96655190ae92384cebfc2b055c03b6
date-released: '2025-10-13'
contact:
- family-names: Rachinger
  given-names: Heiko
  email: heiko.rachinger@uib.es
  affiliation: University of the Balearic Islands