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) <doi:10.1093/ije/dyad001>.
| Version: | 1.7.2 |
| Depends: | R (≥ 4.2.0) |
| Imports: | dplyr (≥ 1.1.3), lifecycle (≥ 1.0.3), magrittr (≥ 2.0.3), rlang (≥ 1.1.1), broom (≥ 1.0.5), purrr (≥ 1.0.0), ggplot2 (≥ 3.5.0) |
| Suggests: | knitr, rmarkdown, MASS, testthat (≥ 3.0.0), vdiffr (≥ 1.0.5) |
| Published: | 2025-06-15 |
| DOI: | 10.32614/CRAN.package.multibias |
| Author: | Paul Brendel [aut, cre, cph] |
| Maintainer: | Paul Brendel <pcbrendel at gmail.com> |
| BugReports: | https://github.com/pcbrendel/multibias/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/pcbrendel/multibias, http://www.paulbrendel.com/multibias/ |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | multibias results |
| Reference manual: | multibias.html , multibias.pdf |
| Vignettes: |
Multibias example: Evans (source, R code) Frequently Asked Questions (source, R code) Introduction to multibias (source, R code) Multibias Validation (source, R code) Multibias example: NHANES (source, R code) |
| Package source: | multibias_1.7.2.tar.gz |
| Windows binaries: | r-devel: multibias_1.7.2.zip, r-release: multibias_1.7.2.zip, r-oldrel: multibias_1.7.2.zip |
| macOS binaries: | r-release (arm64): multibias_1.7.2.tgz, r-oldrel (arm64): multibias_1.7.2.tgz, r-release (x86_64): multibias_1.7.2.tgz, r-oldrel (x86_64): multibias_1.7.2.tgz |
| Old sources: | multibias archive |
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