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ccwr  

Clone-Censor-Weight Methods for Target Trial Emulation
View on CRAN: Click here


Download and install ccwr package within the R console
Install from CRAN:
install.packages("ccwr")

Install from Github:
library("remotes")
install_github("cran/ccwr")

Install by package version:
library("remotes")
install_version("ccwr", "0.0.2")



Attach the package and use:
library("ccwr")
Maintained by
Sang Ho Park
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-03
Latest Update: 2026-09-03
Description:
Provides methods for clone-censor-weight analyses that emulate target trials with grace-period treatment strategies using observational time-to-event data. Tools clone participants across strategies, apply strategy-specific artificial censoring, and estimate inverse probability of censoring weights using pooled logistic or Cox models, fit weighted outcome models, and obtain subject-level bootstrap confidence intervals by repeating the complete analysis. The methods are described by Maringe et al. (2020) <doi:10.1093/ije/dyaa057> and Gaber et al. (2024) <doi:10.1002/cam4.70461>.
How to cite:
Sang Ho Park (2026). ccwr: Clone-Censor-Weight Methods for Target Trial Emulation. R package version 0.0.2, https://cran.r-project.org/web/packages/ccwr. Accessed 24 Oct. 2026.
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