ciccr-package: ciccr: Causal Inference in Case-Control and Case-Population...

In ciccr: Causal Inference in Case-Control and Case-Population Studies

ciccr: Causal Inference in Case-Control and Case-Population Studies

Description

Estimation and inference methods for causal relative and attributable risk in case-control and case-population studies under the monotone treatment response and monotone treatment selection assumptions. For more details, see the paper by Jun and Lee (2023), "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," arXiv:2004.08318 [econ.EM], accepted for publication in Journal of Business & Economic Statistics.

Author(s)

Maintainer: Sokbae Lee [e-mail]

Authors:

• Sung Jae Jun [e-mail]

See Also

Useful links:

• https://github.com/sokbae/ciccr/

• Report bugs at https://github.com/sokbae/ciccr/issues

ciccr documentation built on Oct. 21, 2023, 1:08 a.m.