# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "multibias" in publications use:' type: software license: MIT title: 'multibias: Simultaneous Multi-Bias Adjustment' version: '1.6' doi: 10.32614/CRAN.package.multibias abstract: Quantify the causal effect of a binary exposure on a binary outcome with adjustment for multiple biases. The functions can simultaneously adjust for any combination of uncontrolled confounding, exposure/outcome misclassification, and selection bias. The underlying method generalizes the concept of combining inverse probability of selection weighting with predictive value weighting. Simultaneous multi-bias analysis can be used to enhance the validity and transparency of real-world evidence obtained from observational, longitudinal studies. Based on the work from Paul Brendel, Aracelis Torres, and Onyebuchi Arah (2023) . authors: - family-names: Brendel given-names: Paul email: pcbrendel@gmail.com repository: https://CRAN.R-project.org/package=multibias repository-code: https://github.com/pcbrendel/multibias url: https://github.com/pcbrendel/multibias date-released: '2024-10-26' contact: - family-names: Brendel given-names: Paul email: pcbrendel@gmail.com