multibias-package {multibias}R Documentation

multibias: Multiple Bias Analysis in Causal Inference

Description

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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.

Author(s)

Maintainer: Paul Brendel pcbrendel@gmail.com [copyright holder]

See Also

Useful links:


[Package multibias version 1.7.2 Index]