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

@article{Young2020ACF,
  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},
  year={2020}
}
  • 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
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