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debiasedTrialEmulation  

Pipeline for Debiased Target Trial Emulation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("debiasedTrialEmulation", "0.1.0")



Attach the package and use:
library("debiasedTrialEmulation")
Maintained by
Bingyu Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-23
Latest Update: 2025-05-23
Description:
Supports propensity score-based methods—including matching, stratification, and weighting—for estimating causal treatment effects. It also implements calibration using negative control outcomes to enhance robustness. 'debiasedTrialEmulation' facilitates effect estimation for both binary and time-to-event outcomes, supporting risk ratio (RR), odds ratio (OR), and hazard ratio (HR) as effect measures. It integrates statistical modeling and visualization tools to assess covariate balance, equipoise, and bias calibration. Additional methods—including approaches to address immortal time bias, information bias, selection bias, and informative censoring—are under development. Users interested in these extended features are encouraged to contact the package authors.
How to cite:
Bingyu Zhang (2025). debiasedTrialEmulation: Pipeline for Debiased Target Trial Emulation. R package version 0.1.0, https://cran.r-project.org/web/packages/debiasedTrialEmulation. Accessed 04 Jul. 2026.
Previous versions and publish date:
0.1.0 (2025-05-23 20:22)
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Complete documentation for debiasedTrialEmulation
Functions, R codes and Examples using the debiasedTrialEmulation R package
Full debiasedTrialEmulation package functions and examples
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