multibias-package: multibias: Multiple Bias Analysis in Causal Inference

In multibias: Multiple Bias Analysis in Causal Inference

multibias: Multiple Bias Analysis in Causal Inference

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/ije/dyad001")}.

Author(s)

Maintainer: Paul Brendel [e-mail] [copyright holder]

See Also

Useful links:

• https://github.com/pcbrendel/multibias

• http://www.paulbrendel.com/multibias/

• Report bugs at https://github.com/pcbrendel/multibias/issues

multibias documentation built on April 21, 2026, 1:06 a.m.