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

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.

Package overview README.md Causal Inference in Case-Control and Case-Population Studies: Vignette Causal Inference in Case-Control and Case-Population Studies: Vignette

Vignettes Man pages API and functions Files

Package details
Author	Sung Jae Jun [aut], Sokbae Lee [aut, cre]
Maintainer	Sokbae Lee <sl3841@columbia.edu>
License	GPL-3
Version	0.3.0
URL	https://github.com/sokbae/ciccr/
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("ciccr")`