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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "qbaconfound" in publications use:'
type: software
license: MIT
title: 'qbaconfound: Monte Carlo Quantitative Bias Analysis for Unmeasured Confounding'
version: 0.0.0.9000
doi: 10.32614/CRAN.package.qbaconfound
abstract: A flexible Monte Carlo quantitative bias analysis (QBA) for unmeasured confounding
  in observational studies, as described in Hughes et al. The substantive analysis
  may be a generalised linear model or a Cox proportional hazards model with a binary,
  continuous, or categorical exposure and measured confounders. The method allows
  for one or more binary or continuous unmeasured confounders that may be correlated
  with the measured confounders. Informative priors for a small number of bias parameters
  encode external information about the unmeasured confounders.
authors:
- family-names: Palmer
  given-names: Tom
  email: remlapmot@hotmail.com
  orcid: https://orcid.org/0000-0003-4655-4511
  website: https://ror.org/0524sp257
- family-names: Kawabata
  given-names: Emily
  orcid: https://orcid.org/0000-0003-4178-5513
- family-names: Hughes
  given-names: Rachael
  orcid: https://orcid.org/0000-0003-0766-1410
repository: https://mrcieu.r-universe.dev
repository-code: https://github.com/remlapmot/qbaconfound
commit: 3ae80e85354f1caf826a089bbd78474b1fcdf5af
url: https://mrcieu.r-universe.dev/qbaconfound
date-released: '2026-05-26'
contact:
- family-names: Palmer
  given-names: Tom
  email: remlapmot@hotmail.com
  orcid: https://orcid.org/0000-0003-4655-4511
  website: https://ror.org/0524sp257