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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "debiasedTrialEmulation" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'debiasedTrialEmulation: Pipeline for Debiased Target Trial Emulation'
version: 0.1.2
doi: 10.32614/CRAN.package.debiasedTrialEmulation
abstract: 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.
authors:
- family-names: Zhang
  given-names: Bingyu
  email: bingyuz7@sas.upenn.edu
- family-names: Lu
  given-names: Yiwen
- family-names: Tang
  given-names: Huilin
- family-names: Zhang
  given-names: Dazheng
- family-names: Lei
  given-names: Yuqing
- family-names: Wang
  given-names: Tingyin
- family-names: Chen
  given-names: Siqi
- family-names: Chen
  given-names: Yong
  email: ychen123@pennmedicine.upenn.edu
repository: https://cran.r-universe.dev
commit: bd76d4b542082dbc769e3c05f6d1454cdc1762a8
date-released: '2026-03-20'
contact:
- family-names: Zhang
  given-names: Bingyu
  email: bingyuz7@sas.upenn.edu