A causal framework for classical statistical estimands in failure-time settings with competing events.

  title={A causal framework for classical statistical estimands in failure-time settings with competing events.},
  author={J. Young and M. J. Stensrud and E. T. Tchetgen Tchetgen and M. Hern{\'a}n},
  journal={Statistics in medicine},
  • J. Young, M. J. Stensrud, +1 author M. Hernán
  • Published 2020
  • Computer Science, Medicine, Mathematics, Psychology
  • Statistics in medicine
  • In failure-time settings, a competing event is any event that makes it impossible for the event of interest to occur. For example, cardiovascular disease death is a competing event for prostate cancer death because an individual cannot die of prostate cancer once he has died of cardiovascular disease. Various statistical estimands have been defined as possible targets of inference in the classical competing risks literature. Many reviews have described these statistical estimands and their… CONTINUE READING
    25 Citations
    Causal Inference in the Face of Competing Events
    Estimation of separable direct and indirect effects in continuous time.
    • Highly Influenced
    • PDF
    Competing risks: Aims and methods
    • 1
    Conditional separable effects
    • 1
    • PDF
    A causal model for subgroup effects in randomized screening trials.
    • PDF
    Generalized interpretation and identification of separable effects in competing event settings.
    • 4
    • PDF
    gfoRmula: An R package for estimating effects of general time-varying treatment interventions via the parametric g-formula
    • 3
    • PDF
    On null hypotheses in survival analysis.
    • 2
    • PDF


    Competing risk regression models for epidemiologic data.
    • 657
    • PDF
    Bias Due to Confounders for the Exposure–Competing Risk Relationship
    • 21
    Introduction to the Analysis of Survival Data in the Presence of Competing Risks
    • 631
    Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms
    • 9
    • PDF
    A Proportional Hazards Model for the Subdistribution of a Competing Risk
    • 8,050
    • Highly Influential
    Adjusting for time-varying confounding in the subdistribution analysis of a competing risk
    • 39
    On semi-competing risks data
    • 212