Introduction | Setup | Data Preparation and Exploration | Creating the Exposure Variable | Data Characteristics | Multiple Bias Analysis | 1. Adjusting for Uncontrolled Confounding | 2. Adding Exposure Misclassification Adjustment | 3. Adding Selection Bias Adjustment | Visualize Results | Discussion
Package: multibias 1.7.3
multibias: Multiple Bias Analysis in Causal Inference
Quantify exposure-outcome causal effects 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 combination of 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>.
Authors:
multibias_1.7.3.tar.gz
multibias_1.7.3.zip(r-4.7)multibias_1.7.3.zip(r-4.6)multibias_1.7.3.zip(r-4.5)
multibias_1.7.3.tgz(r-4.6-any)multibias_1.7.3.tgz(r-4.5-any)
multibias_1.7.3.tar.gz(r-4.7-any)multibias_1.7.3.tar.gz(r-4.6-any)
multibias_1.7.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
multibias/json (API)
| # Install 'multibias' in R: |
| install.packages('multibias', repos = c('https://pcbrendel.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pcbrendel/multibias/issues
Pkgdown/docs site:https://www.paulbrendel.com
Datasets:
- df_em - Simulated data with exposure misclassification
- df_em_om - Simulated data with exposure misclassification and outcome misclassification
- df_em_om_source - Data source for 'df_em_om'
- df_em_sel - Simulated data with exposure misclassification and selection bias
- df_em_sel_source - Data source for 'df_em_sel'
- df_em_source - Data source for 'df_em'
- df_om - Simulated data with outcome misclassification
- df_om_sel - Simulated data with outcome misclassification and selection bias
- df_om_sel_source - Data source for 'df_om_sel'
- df_om_source - Data source for 'df_om'
- df_sel - Simulated data with selection bias
- df_sel_source - Data source for 'df_sel'
- df_uc - Simulated data with uncontrolled confounding
- df_uc_em - Simulated data with uncontrolled confounding and exposure misclassification
- df_uc_em_sel - Simulated data with uncontrolled confounding, exposure misclassification, and selection bias
- df_uc_em_sel_source - Data source for 'df_uc_em_sel'
- df_uc_em_source - Data source for 'df_uc_em'
- df_uc_om - Simulated data with uncontrolled confounding and outcome misclassification
- df_uc_om_sel - Simulated data with uncontrolled confounding, outcome misclassification, and selection bias
- df_uc_om_sel_source - Data source for 'df_uc_om_sel'
- df_uc_om_source - Data source for 'df_uc_om'
- df_uc_sel - Simulated data with uncontrolled confounding and selection bias
- df_uc_sel_source - Data source for 'df_uc_sel'
- df_uc_source - Data source for 'df_uc'
causal-inferencecausal-modelsepidemiology
Last updated from:4b68218f55. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 284 | ||
| source / vignettes | OK | 269 | ||
| linux-release-x86_64 | OK | 279 | ||
| macos-release-arm64 | OK | 172 | ||
| macos-oldrel-arm64 | OK | 204 | ||
| windows-devel | OK | 289 | ||
| windows-release | OK | 282 | ||
| windows-oldrel | OK | 321 | ||
| wasm-release | OK | 112 |
Exports:bias_paramsdata_observeddata_validationmultibias_adjustmultibias_plot
Dependencies:backportsbroomclicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Multibias example: NHANES
Last update: 2026-04-20
Started: 2025-02-19
Frequently Asked Questions
How does multibias fit into the causal inference workflow? | My causal analysis leveraged propensity scores - how does that fit into a multibias analysis? | What is bootstrapping and how is it relevant here? | How do I cite multibias? | Does multibias support time-to-event data and analyses?
Last update: 2025-06-11
Started: 2025-06-11
Introduction to multibias
1. Create data_observed | 2. Create source for bias adjustment | Option 1: Bias parameters | Option 2: Validation data | 3. Run the bias adjustment | Single run | Bootstrapping | 4. Visualize results
Last update: 2025-06-11
Started: 2024-10-26
Multibias Validation
Last update: 2025-05-08
Started: 2025-02-19
Multibias example: Evans
Last update: 2025-05-06
Started: 2025-02-19
