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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 "RCTrep" in publications use:'
type: software
license: MIT
title: 'RCTrep: Validation of Estimates of Treatment Effects in Observational Data'
version: 1.0.0
doi: 10.21203/rs.3.rs-2559287/v1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RCTrep
abstract: Validates estimates of (conditional) average treatment effects obtained
  using observational data by a) making it easy to obtain and visualize estimates
  derived using a large variety of methods (G-computation, inverse propensity score
  weighting, etc.), and b) ensuring that estimates are easily compared to a gold standard
  (i.e., estimates derived from randomized controlled trials). 'RCTrep' offers a generic
  protocol for treatment effect validation based on four simple steps, namely, set-selection,
  estimation, diagnosis, and validation. 'RCTrep' provides a simple dashboard to review
  the obtained results. The validation approach is introduced by Shen, L., Geleijnse,
  G. and Kaptein, M. (2023) <https://doi.org/10.21203/rs.3.rs-2559287/v1>.
authors:
- family-names: Shen
  given-names: Lingjie
  email: 602249910@qq.com
- family-names: Geleijnse
  given-names: Gijs
  email: g.geleijnse@iknl.nl
- family-names: Kaptein
  given-names: Maurits
  email: M.C.Kaptein@tilburguniversity.edu
preferred-citation:
  type: article
  title: 'RCTrep: An R Package for the Validation of Estimates of Average Treatment
    Effects'
  authors:
  - family-names: L
    given-names: Shen
  - family-names: G
    given-names: Geleijnse
  - family-names: M
    given-names: Kaptein
  journal: Research Square
  year: '2023'
  url: https://assets.researchsquare.com/files/rs-2559287/v1/e005edc67fc132e429467e4c.pdf?c=1675879954
  doi: 10.21203/rs.3.rs-2559287/v1
repository: https://duolajiang.r-universe.dev
repository-code: https://github.com/duolajiang/RCTrep
commit: 9b53d9ea2164afe630aca908d984e771043fcf05
url: https://github.com/duolajiang/RCTrep
contact:
- family-names: Shen
  given-names: Lingjie
  email: 602249910@qq.com