multibias
Multiple Bias Analysis in Causal Inference
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.7.3 |
rolling linux/jammy R-4.5 | multibias_1.7.3.tar.gz |
4.3 MiB |
1.7.3 |
rolling linux/noble R-4.5 | multibias_1.7.3.tar.gz |
4.3 MiB |
1.7.3 |
rolling source/ R- | multibias_1.7.3.tar.gz |
3.0 MiB |
1.7.3 |
latest linux/jammy R-4.5 | multibias_1.7.3.tar.gz |
4.3 MiB |
1.7.3 |
latest linux/noble R-4.5 | multibias_1.7.3.tar.gz |
4.3 MiB |
1.7.3 |
latest source/ R- | multibias_1.7.3.tar.gz |
3.0 MiB |
1.7.3 |
2026-04-26 source/ R- | multibias_1.7.3.tar.gz |
3.0 MiB |
1.7.3 |
2026-04-23 source/ R- | multibias_1.7.3.tar.gz |
3.0 MiB |
1.7.2 |
2026-04-09 windows/windows R-4.5 | multibias_1.7.2.zip |
4.3 MiB |
1.7 |
2025-04-20 source/ R- | multibias_1.7.tar.gz |
2.8 MiB |