Supports propensity score-based methodsâincluding matching, stratification, and weightingâfor 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 methodsâincluding approaches to address immortal time bias, information bias, selection bias, and informative censoringâare under development. Users interested in these extended features are encouraged to contact the package authors.
Version: 0.1.0 Depends: R (≥ 3.5.0) Imports: dplyr, janitor, cobalt, MatchIt, geex, glmnet, survival, ggplot2, ParallelLogger, EmpiricalCalibration, purrr Published: 2025-05-23 DOI: 10.32614/CRAN.package.debiasedTrialEmulation Author: Bingyu Zhang [aut, cre], Yiwen Lu [aut], Dazheng Zhang [aut], Yuqing Lei [aut], Tingyin Wang [aut], Siqi Chen [aut], Yong Chen [aut] Maintainer: Bingyu Zhang <bingyuz7 at sas.upenn.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no CRAN checks: debiasedTrialEmulation results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=debiasedTrialEmulation to link to this page.
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