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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 "TxEffectsSurvival" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'TxEffectsSurvival: Treatment Effect Inference for Terminal and Non-Terminal
  Events under Competing Risks'
version: 1.0.2
doi: 10.32614/CRAN.package.TxEffectsSurvival
abstract: Provides several confidence interval and testing procedures, based on either
  semiparametric (using event-specific win ratios) or nonparametric measures, including
  the ratio of integrated cumulative hazard (RICH) and the ratio of integrated transformed
  cumulative hazard (RITCH), for treatment effect inference with terminal and non-terminal
  events under competing risks. The semiparametric results were developed in Yang
  et al. (2022 <https://doi.org/10.1002/sim.9266>), and the nonparametric results
  were developed in Yang (2025 <https://doi.org/10.1002/sim.70205>). For comparison,
  results for the win ratio (Finkelstein and Schoenfeld 1999 <https://doi.org/10.1002/(SICI)1097-0258(19990615)18:11%3C1341::AID-SIM129%3E3.0.CO;2-7>),
  Pocock et al. 2012 <https://doi.org/10.1093/eurheartj/ehr352>, and Bebu and Lachin
  2016 <https://doi.org/10.1093/biostatistics/kxv032>) are included. The package also
  supports univariate survival analysis with a single event. In this package, effect
  size estimates and confidence intervals are obtained for each event type, and several
  testing procedures are implemented for the global null hypothesis of no treatment
  effect on either terminal or non-terminal events. Furthermore, a test of proportional
  hazards assumptions, under which the event-specific win ratios converge to hazard
  ratios, and a test of equal hazard ratios, are provided. For summarizing the treatment
  effect across all events, confidence intervals for linear combinations of the event-specific
  win ratios, RICH, or RITCH are available using pre-determined or data-driven weights.
  Asymptotic properties of these inference procedures are discussed in Yang et al.
  (2022 <https://doi.org/10.1002/sim.9266>) and Yang (2025 <https://doi.org/10.1002/sim.70205>).
authors:
- family-names: Pak
  given-names: Daewoo
  email: dpak@yonsei.ac.kr
- family-names: Yang
  given-names: Song
  email: yangso@nhlbi.nih.gov
repository: https://daewoopak.r-universe.dev
commit: 6c48a7844b78b4ec6b6b6ed71d7c153b4b1e7f3f
date-released: '2026-01-09'
contact:
- family-names: Pak
  given-names: Daewoo
  email: dpak@yonsei.ac.kr