multibias-package: multibias: Simultaneous Multi-Bias Adjustment

In multibias: Simultaneous Multi-Bias Adjustment

multibias: Simultaneous Multi-Bias Adjustment

Description

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) \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 11, 2025, 5:53 p.m.